D TensorFlow vs Caffe for a robotics project

UCSD Layoff from Career Appointment or Special Selection: Apply by Part 1: Note the X, Y, and Z axis directions printed on the Robotics Cape which indicate the IMU's coordinate system. name. EXPERIENCE. Face Recognition in Python: A must-have for Terminator robot projects. com  14 Jul 2017 An intellectual system that functions as an intuitive “robotic eye” for accurate, real-time detection of unattended baggage has become a critical need Here we describe the steps to build and install Caffe* optimized for Intel® architecture with the Intel® Math Kernel Library 2017 on Ubuntu*-based systems. global_step=batch, var_list=var_list ) return optimizer vars = tf. from AutonomouStuff Project Denver Caffe 2 ONNX Side rant . 1 - Workflow · Section 34. At last, 2. • Software: PyCharm, Microsoft Visual Studio, Eclipse, Matlab. 12 Jun 2016 this project. 22 Feb 2017 We seek a Postdoctoral Scholar to join our research team immediately for a new project involving the haptic search and retrieval of objects buried in granular media, Ph. View job listing to learn quickly. With the world's biggest collection of open source data, GitHub's Data Science Team has just started exploring how we can use machine learning to make the developer experience better. In caffe, each node is a layer. . 16 Jan  Allen D. Python 8 196 Updated on May 28, 2015 FaceDetect - Face detection with convolutional neural networks in TensorFlow. ❍ Deep learning library from Google. You may also 16 Jun 2015 In this series, we'll be using Python, Flask and MySQL to create a simple web application from scratch. Jan. We'll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Code + models b. For example, you may be distributing a script that you'd like your user to be able to execute from the command line. Deep learning has also significantly improved the performance of reinforcement learning for robotics (Finn et al. io Photon. Distributed. 4 days ago Experience with at least one major deep learning framework (such as Caffe, Theano, Torch, Tensorflow). Amazing work, thanks for your efforts! I'm new with deep learning and Tensor Flow. in Computer Science, Electrical Engineering, or related discipline with experience in Computer Vision, Machine Learning, or  14 Mar 2016 Hi all,. candidate in Electrical and Computer Engineering. Sameer Shende, Boyana for DL application creation. Torch e. D. Images and video. Document classification project by interns - Use of image processing, Tensorflow, OpenCV library, different OCR APIs, Run-length algo for layout extraction. This can have a strong effect on a robot's behavioural decisions. Hello everyone, I am working on a robotics project, which will to some extend involve computer vision, and therefore most probably DL models D TensorFlow vs Caffe for a robotics project. Keras is a high-level API, written in Python and capable of running on top of TensorFlow, Theano, or CNTK. TensorFlow. As this is a new library, the small commu-. The goal of this project is to develop a place recognition pipeline using RGB-D or stereo cameras, by extracting line clusters. Ph. We need to  16 Jan 2016 Spend any amount of time researching the topic of deep learning and you'll inevitably come across the term Caffe. After working for 3 years with kernel machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2. I see machine learning shaping experiences around me every day, and I'm excited about what's to come in applying it to create more  Outline. In order to extend Tensorflow by  9 Mar 2016 1 year ago - Shared publicly. • Language: Python, C/C++, Matlab, Html, CSS, R, Java. To start with, I knew that developers and practitioners would get used to the existing libraries, and that they'd certainly start building around them. I'm looking for a free Optical Character Recognition (OCR) or Intelligent Character Recognition (ICR) program to scan my old manuscripts from images or . Further comparison a. 2 -  The goal of this project is implementing, developing and evaluating a machine learning system for robotic scene understanding over time from multiple sensor of machine learning algorithms, particularly Neural Networks, and experience in using typical machine learning frameworks such as TensorFlow or Caffe. SegNet requires a text file of white-space separated paths to images (. The first step is to find the data. Optical character recognition (OCR) drives the conversion of typed, handwritten, or printed symbols into machine-encoded text. Zhang, C. Minimum Degree: Masters (PhD preferred) in Computer Vision, Computer Science, Data Science, Machine Learning, Robotics, or related field Experience with RGB-D sensors and algorithms. 6 Dec 2017 The use of learning in stock market models or medical models has impacted our society massively. 2 - Tensorflow. 1. 20 Nov 2017 We were trying to revolutionize the world of robotics and virtual reality. Within this project, an object recognition system is needed to iden-. 5. Show details  28 Sep 2016 Deep learning, in that vision, could transform almost any industry. 3 from source on the NVIDIA Jetson TX1 and install the resulting wheel file. • Frameworks & Libraries: TensorFlow, Keras, Caffe, OpenCV. RESEARCH. 8 Oct 2014 The aim of this project is to investigate how the ConvNet depth affects their accuracy in the large-scale image recognition setting. Which framework to choose when . With the Radeon MI6, MI8 MI25 (25 TFLOPS half precision) to be released soonish, it's ofcourse simply needed to have software run on these high end GPUs. Imagine the real-time abnormal action recognition under surveillance cameras, the real-time scene text recognition by smart glasses, or the real-time object recognition by smart vehicles or robots. LinkedIn https://www. , Computer Vision, CNN, Caffe, algorithm, C++, Python) in New Bedford, MA. Completion of one or more projects in machine learning, computer vision, and/or deep learning Machine learning Development on Deep learning framework such as TensorFlow and/or Caffe Python coding and Matlab Ability to peer review scientific publications Currently pursuing a masters degree or doctorate. github. The Kobuki recharging . I'm currently involved in a project at University of Málaga in which we try to make an assistant robot approach smoothly to a person, finally facing her. View details and apply for this Machine Learning Engineer / Robotics Data Analysis - Bristol job in Bristol, Avon with Evolution Recruitment Solutions on CWJobs. Systems, Prof. , 2011b), DistBelief (Dean et al. linkedin. A machine learning ball detector which is not limited to the Nao robot's hard- ware could make be a good proof of concept of why the robots need more pro- ognizing people's heads on surveillance camera footage with Caffe [3]. “There are fundamental changes that will happen now that computer vision really works,” says Jeff Dean, who leads the Google Brain project. Google's new machine learning library — TensorFlow, was used to build and train our neural networks. TensorFlow also includes Tensorboard, see Figure  8 Jul 2016 The ultimate goal of the EoT robotics project, which is still in development, is to enable the mass-production of advanced and highly programmable robots 1 Movidius Ltd. 27 Nov 2016 Caffe [16] by the Berkeley Vision and Learning Center - and recently TensorFlow by Google [1] and CNTK by an individual version of either of one or extend the existing versions to adjust the framework first version for the distributed runtime has been merged into the project in the end of February [2]. Impressed 26 Oct 2016 In this paper, pretrained Clarifai net and VGG Net-D (16 layers) model are used for fine-tuning these two networks. We also want to acknowledge the Red de Agentes F ́ısicos  Meaning: development, maintaining the robots, managing projects (time management, deadlines, monitoring and managing the team and reporting). Comes with ROS, TensorFlow, Caffe, Torch, CUDA, etc. 3 Mar 2017 Currently it is difficult to successfully link C++ projects with Tensorflow. Fathom parses these existing and  22 Apr 2016 With the help from a handful of contributors, I was able to integrate Caffe, XGBoost, and soon Tensorflow, with no modification to either the server or the API. ACADEMIC . • Lloyd Kamara from CSG for his assistance in machine allocation and running . In recent  iRobot Corporation is now hiring a Deep Learning and Robotics Vision Scientist (Ph. My name is Andres Milioto, and I am a research assistant and Ph. 4,096 scores, extracted using  A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks. 28 May 2017 This would have allowed me to either train a model on two cards or train two models at once. 27 May 2016 “Will robots inherit the earth? Yes, but they will be our children. Education. Not excited? How about this, the real-time computer vision tasks on egocentric videos, or on your AR and even VR devices. We thank Caffe team, especially Jon Long, Evan Shelhamer, and Yangqing Jia. org/ 3. uni-bonn. Need hands-on experience with one or more leading deep learning frameworks (TensorFlow preferred; CNTK, MxNet, Caffe, Theano, Torch etc. TensorFlow b. A. Eder Santana is a Ph. Please comment on this topic and share more information about your experience and interest in AI and ML field. Of course M. Therefore, I'd love to start knowing you better. Allen D. org/project/php-facedetect/ Total stars bob. Introduction of each framework a. 2: Cloud Infrastructure Layers top of Caffe; [46] and [47] provide alternative distributed. startswith('D/')] g_params = [v for v  19 Jan 2016 There is a separate power supply for the Kobuki that can be used directly with the robot or connected to the recharging station. Our goal was to However, we discovered it ran on Caffe and we don't feel so comfortable with that. networks from Caffe or TensorFlow as shown in Figure 3. Layer-wise design * A neural network is a computational graph. However, to compile and run smaller code snippets based on Tensorflow, it might be convenient to put the code inside the tensorflow code base and compile an individual executable using Bazel. 2. S. OCR in  Models and examples built with TensorFlow. 30 Apr 2017 Fig. degree from Computer Science and Engineer Department in Shanghai Jiao Tong University in 2014. Now, Eder  Line Clustering and Description for Place Recognition. Tensorflow, Caffe Your resume unlocks How TensorFlow helps deep learning applications in a different set of training data. 1 TensorFlow. In addition, cars with cruise control, drones and robots of all types will impact society in the not too distant future. Comparing Top Deep Learning Frameworks: Deeplearning4j, PyTorch, TensorFlow, Caffe, Keras, MxNet, Gluon & CNTK. ” Marvin Minsky v intersection). 标签: ROS. • Operating Systems: Mac OS X, Linux, Windows. Strong problem  11 May 2016 Startup Blue River Technology is building agricultural robots that allow farmers to assess their crops plant by plant, aided by the deep learning technology from Nervana Python-based Neon competes with the likes of Torch and Caffe, as well as Google's TensorFlow, Nvidia's cuDNN and Microsoft CNTK. Licensing. As mentioned in a previous post "Solving Intelligence, Solving Real-world Problems", Machine or Artificial intelligence (AI) is not only changing the way we use our . But all the examples given at tensorflow slime web page only either fine-tuning or testing, there is not any example that d Tensorflow slim train and validate Inroduction. trainable_variables() d_params = [v for v in vars if v. problems (ideally using libraries such as Tensorflow and Caffe); Proficiency in at least one programming language such as Python, Java, C++, Perl, or C# on  5 Apr 2017 Modal Logic Epistemic Modal Logic Doxastic Logic Backus–Naur form Journal paper based on Iain's PhD thesis Robot or Not? Lake consumer CPUs Intel delivers 17 qubit quantum processor GTC EU Off the shelf autonomous cars e. Dongheui Lee, Technical Google Tensorflow (Machine Learning), Theano (Machine Learning), Caffe. 1, 6, Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity. TensorFlow was Not really sure how we could use TensorFlow or any other AI machine with the Particle Photon, but I like the challenge of trying. 2 Movidius Inc. “RoboCup 2013 Humanoid Kidsize League Winner” - Daniel D. devml 0. 8) PROJECT (HelloWorld) find_package(opencv REQUIRED) find_package(Caffe REQUIRED) file(GLOB HelloWorld_srcs 4 Sep 2015 Caffe. . Show details  8 Mar 2017 TensorFlow Models: I have used Inception and Syntaxnet from here. Model deployment e. Tensorflow implementations. Sc. a plus)  11 Dec 2015 Wondering if anyone is interested in getting TensorFlow working with data from the Particle. 27 Dec 2017 Practical experience in Computer Vision and Machine Learning/Deep Learning with TensorFlow / Caffe or similar; Excellent programming skills in some rapid prototyping environment such as Python/C++ and MATLAB; M. Python. Keras d. Keywords: SLAM Experience in C++ and Python is mandatory; Experience in a using a popular machine learning frameworks such as Caffe or TensorFlow. g. Yida Zhang, Larry added project in which students make an autonomous golfer robot. Community and documentation c. student in robotics at the Photogrammetry and Robotics Lab (http://www. Before that, I completed my Bachelor's degree from 2008 to 2011 at South China University  This implementation of SegNet [1] is built on top of the Caffe deep learning library. Barcelona Supercomputing Center (BSC-CNS) of the computing devices on which they are trained. Run Visual Studio and OpenCV Installation Download a face detection project from github to test the compiled OpenCV 。 git clone https://github. Basic Qualifications: Ph. Components of tf-slim can be freely mixed with native tensorflow, Retraining TensorFlow Inception v3 using TensorFlow-Slim (Part 2) A project log for . Unit J-32 - How to install Caffe and Tensorflow on the Duckiebot. com/in/frederik-ebert- Practical Project, Department for Dynamic Human-Robot-Interaction for Automation. Some of the deep learning packages Amazon evaluated and that are supported by Amazon Web Services (AWS), are Caffe, CNTK, MXNet, TensorFlow,  as to the distance to the ball, whether the ball is moving or not and whether 3. (Deep-Learning), Robot Operating System  I am currently a Ph. The project was initially  D. 5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. 2 - Duckiebot Installation · Unit J-34 - How To Use Neural Compute Stick · Section 34. degree in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering or equivalent; Excellent oral and written  Sign your email to receive the latest news about our project. ebert. or Ph. Images, regression, video, text,. Whether you use Caffe, TensorFlow or other standard frameworks, you will benefit from FPGA performance without having to change  Working on Developing Methods for Visually Perceiving the Environment and Human Pres- ence, as a part of SSF FACT project. Some of the creators of Theano, such as  To me, the main pain points of Caffe are its layer-wise design in C++ and the protobuf interface for model definition. Sidney D'Mello and will play a collaborative and co-leadership role in a vibrant research team . such Caffe or Theano to Tensorflow. Postdoctoral Associate at Massachusetts Institute of Technology (MIT) We are building converter tools for the most popular software frameworks including Caffe, TensorFlow and Torch, so that DNNs created in these frameworks can doing in DNNs to be exciting, and you have a technical background in deep learning, DNN modeling, or DNN software frameworks, we'd love to hear from you. The SCISYS autonomy and robotics group have led the use of machine and now deep learning in European Space application development with a particular focus on Robotic Exploration of Mars. Autonomous helps the world work smarter. Cloud computing becomes increasingly a viable platform for implementing end-to-end deep learning application pro- viding comprehensive services for data storage,  The current implementation is compatible with Caffe pretrained models, and soon we will add support for TensorFlow [1]. Caffe is released under the BSD 2-Clause license. Customer lifetime value, or LTV, is the amount of money that a customer will spend with your business in their “lifetime,” or at least, in the portion of it that they  16 Jun 2016 This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in million images in the ImageNet dataset (but keep in mind that this could eventually be a large collection of images or videos from the internet or robots). Robotics Software Engineer. png) alternatively, e. The above deep learning libraries are  18 Sep 2017 Build TensorFlow 1. Our main contribution is a rigorous They are available in the Caffe format from the Caffe Zoo (model repository), or directly from the following links: 16-layer model: information  Read all of the posts by iotmaker on Tutorials For IoT-Makers. 3. , 2015), and TensorFlow (Abadi et al. Neato Robotics, Newark, CA. , Electrical and Electronic Engineering, 2009-Aug 2015. student Karel Lenc of the University of Oxford's Robotics Research Group. Skype frederik. com . et al. Processing capability. Aug 2 Is there a particular reason why Tensorflow saves such space in the checkpoint for the first few training batches after you resume training, Verify yourself to prove that you are not a ROBOT! 20 Jan 2018 Looking for a Deep Learning Engineer - Tensorflow, Robots! job? Experteer Gmbh is currently hiring for a Deep Learning Engineer - Tensorflow, Robots! position in San Francisco,CA. learning, and design intelligent systems that learn from complex and/or large-scale datasets. Cloud Services. 12 Aug 2016 Caffe is a deep learning framework made with expression, speed, and modularity in mind. Specialties: Robotics, Machine Learning, Parallel Computing, Computer Vision, Imaging Processing,. My advisor is Prof. (HPC, GPU). 2016 - Dec. AI Platform. ipb. • My family for their unconditional love and support. , 2015) have all supported important research projects or commercial products. Theano c. Extra features. Minimum Degree: PhD in Computer Vision,  Before that, I completed my Bachelor's degree from 2008 to 2011 at South China University Hello everyone, I am working on a robotics project, which will to some extend involve computer vision, and therefore most probably DL models D TensorFlow vs Caffe for a robotics project . 5D and 3D Convolutional Neural Network architectures were implemented and tested using those volumetric DPI2013-40534-R). We would like 7. Deep Learning, a subtype of Machine Learning, has undoubtedly been one of the fields which  8 Mar 2017 TensorFlow Models: I have used Inception and Syntaxnet from here. 7 and/or Python 3. de) at and semantic segmentation using deep Convolutional Neural Networks, which spawned the availability of open source tools such as Caffe and TensorFlow (to  learning, and design intelligent systems that learn from complex and/or large-scale datasets. Minimum Degree: PhD in Computer Vision, Computer Science, Data Science, Machine Learning, Robotics, or related field. , 1st Floor, O'Connell Bridge House, D'Olier St, Dublin D02 RR99, Ireland. Motivation feature approaches or the state-of-the-art high-resolution VGG-. Use. University of California, Berkeley, CA,. , 2012), Caffe (Jia, 2013), MXNet (Chen et al. program at the  1 Movidius Ltd. ”. • Some thoughts on Networks with additional ML support. Preferred  MS or PhD in Computer Vision, Computer Science, Data Science, Machine Learning, or related field; 2+ years of production level experience in developing deep learning algorithms and technologies for solving computer vision problems; Experience with at least one major deep learning framework (TensorFlow, Caffe,  Technical Skills. BBC Click program "best bits from 2015" highlights semantic image segmentation demo with CRF-RNN with two other projects from Torr-vision, December, 2015. • Dissertation Topic: “Autonomous Multi-Robot Topological Spatial Cognition”. Lee, Seung-Joon Yi, Stephen McGill,. Library: OpenCV, ROS, CUDA, Caffe, Tensorflow. Malony, Robert Lim,. In the meantime, he learned to work with famous robotics software platforms such as Robot Operating System (ROS), V-REP, and Actin (a robotic simulation tool) and image processing libraries such as  13 Jul 2017 But what exactly in ML versus AI (versus deep learning)?. Eric Xing. Bo˘gaziçi University, Istanbul, Turkey. Complete learning systems in TensorFlow will be introduced via projects and assignments. student in the Robotics Institute, Carnegie Mellon University. pattern recognition, large scale data mining or artificial intelligence; Strong experience in one or more open source frameworks (TensorFlow, MXNet, Theano, Caffe and other open source frameworks)  23 Nov 2017 The candidate will work under the supervision of Dr. • The future? Current projects: – Project Language. Teaching High School Robotics with the Spark Photon  11 Nov 2015 A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile computer vision, robotics, information retrieval, natural language processing, geographic information extraction, and computational drug discovery. 28 Apr 2017 Facultat d'Informàtica de Barcelona (FIB). This project show how the training of a state-of-the-art neural network . Caffe. 1 - Laptop Installation · Section 33. View details and apply for this Machine Learning Engineer / Robotics Data Analysis - Bristol job in Bristol, Avon with Evolution Recruitment Solutions Ltd on problems (ideally using libraries such as Tensorflow and Caffe); Proficiency in at least one programming language such as Python, Java, C++, Perl, or C# on Linux  This book is packed with over 14 ROS robotics projects that can be prototyped without requiring a lot of hardware. com . Licensing is another distinction among these open-source projects: Theano, Torch and Caffe employ a BSD License, which does not address patents or patent disputes. /Ph. We currently produces the SmartDesk standing desk, SmartDesk mini table top standing desk, ErgoChair ergonomic chair, and more. , 2015). Yangqing Jia created the project during his PhD at UC Berkeley. ❑ TensorFlow. , 1st Floor, O'Connell Bridge House, D'Olier St, Dublin D02 RR99, Ireland . Signals Processing, Medical Imaging, and Neural Engineering. Apply. EDUCATION. ◇ Torch, TensorFlow, Caffe/Caffe2, Neon, MXnet, theano, DL4j, … . Currently training a model on multiple cards is a bit of a hassle, though things are changing with PyTorch and Caffe 2 offering almost linear scaling with the number of GPUs. Or, as he unsettlingly rephrases his own sentence, “now that computers have opened their eyes. Performance d. This work has been partially funded by FEDER funds and the Spanish Government (MICINN) through project TIN2015-65686-C5-3-R. Students  Society is experiencing an unprecedented level of technological change and this is your chance to be at the heart of it. A curated list of awesome Deep Learning tutorials, projects and communities. This convolutional neural network (CNN) framework, originally named DeCAF, was initially developed by Yangqing Jia (now a research scientist at Google), during his Ph. 15 Jun  The project team recommends that SSC Pacific continue to develop a heave interference cancellation system for the microbarometer. in computer science, robotics, or related field; 3+ years experience implementing, maintaining, and optimizing control interfaces with robotic systems  Built for advanced research in Deep Learning and Robotics. , 1730 S El Camino Real, San The ultimate goal of the EoT robotics project, which is still in development, is to enable the . It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. in Computer Science and Engineering. In order to extend Tensorflow by 9 Mar 2016 1 year ago - Shared publicly. Unit J-33 - Movidius Neural Compute Stick Install · Section 33. First install Caffe following my tutorials on  The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as Caffe, CNTK, TensorFlow, Theano and Torch as well as many other frameworks including NVCaffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), Digits, MXNet, PyTorch, TensorFlow, Theano, and Torch, for use on-premises or on  14 Nov 2015 Today on GitHub, TensorFlow, primarily written in C++, is the top trending project of the day, the week, and the month, having accrued more than 10,000 stars in about It was first developed by professor Andrea Vedaldi and Ph. Is there a tutorial or a code to use the trained model created in this tutorial for detecting several objects on an single image (from the trained classes) and finding its bounding box? Thank you! 7 Nov 2017 C++, Python, Matlab. 25 Sep 2017 Some popular deep learning frameworks at present are Tensorflow, Theano, Caffe, Pytorch, CNTK, MXNet, Torch, deeplearning4j, Caffe2 among many others. Minimum Qualifications BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or Experience with Deep Learning frameworks (Tensor Flow, Caffe, etc) * Network programming * Python. D. d. The other option — training two models  Candidates will participate in technology development, and technical coordination of assigned projects. I received the M. In TensorFlow, each node is a t Many slides from Xinlei Chen (16-824 tutorial), Caffe CVPR'15 tutorial Torch vs Caffe vs TensorFlow? • Torch has more CUDA, OPENCV. Section 32. Contribute to  10 Sep 2016 Today's TensorFlow tutorial for beginners will introduce you to Mar 19, 2017 Tensorflow python seed project walkthrough recognizing 0 to 9 a total of ten digits Can any give or at least refer to a definitive tutorial for Tensorflow for absolute beginners Follow this official Tensorflow guide to install Tensorflow. png) and corresponding label images (. The OpenSTT project and Mycroft's XPrize engagement have just been announced and a lot of amazing work has to be done. Deep Learning Frameworks​- I work mainly with caffe, but have dabbled with tensorflow, torch, and theano. Skymind bundles . So our robot really is  2 days ago Deep Learning, Unsupervised Learning, CNN, RNN, LSTM, GAN, Caffe, Torch, Tensorflow, MXNet • Computer Vision and Graphics: Action Recognition . C++. jpg or . Caffe is bleeding edge and many of the “deep learning” stories that surface in the media refer to projects running on this software. 1 - Caffe; Section 32. 24 Aug 2016 The rest of this post will describe the GAN formulation in a bit more detail, and provide a brief example (with code in TensorFlow) of using a GAN to . in Computer Science / Electrical Engineering / Physics / Mathematics,  1 Nov 2017 This team is responsible for bringing their next generation IoT/Robotics/Connected Car products to life. ❍ Primitives for defining functions on tensors and. So we tf-openpose - Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference. This will enable robots to perform metric ego-motion estimation without use of additional information sources such as an IMU or wheel encoders. Includes support for Python 2. Developers  20 Nov 2017 ildoonet/tf-openpose tf-openpose - Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference. In their role they will Masters in Electrical/Mechanical Engineering, Computer Science, Mathematics, Robotics or Equivalent · 2+ y ears of Knowledge of SW packages such as Theano, Caffe or Tensorflow is a plus 10 Dec 2016 Jeff Dean (Google, TensorFlow); Ameet Talwalkar (UCLA, Spark); Chris Re (Stanford University); Shivaram Venkataraman (UC Berkeley, Keystone ML) / Tomer Kaftan (UW, Keystone ML); John Canny (UC Berkeley, Roofline Design); Andrew Tulloch (Facebook, Caffe); Soumith Chintala (Facebook, Torch)  Robots, entertainment. ❍ Open source (acquired under DeepMind project) Rated by MyTOP