Using deep neural networks for accurate hand-tracking on Oculus Quest
https://ai.facebook.com/blog/hand-tracking-deep-neural-networks/
https://ai.facebook.com/blog/hand-tracking-deep-neural-networks/
Facebook
Using deep neural networks for accurate hand-tracking on Oculus Quest
We’ve used novel machine learning and tracking architectures to develop a new, fully articulated hand-tracking system for VR.
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model.
https://github.com/slundberg/shap
https://github.com/slundberg/shap
GitHub
GitHub - shap/shap: A game theoretic approach to explain the output of any machine learning model.
A game theoretic approach to explain the output of any machine learning model. - shap/shap
Deep Reinforcement Learning
CS 285 at UC Berkeley Lectures will be streamed and recorded.
lectures: https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A
https://rail.eecs.berkeley.edu/deeprlcourse/
CS 285 at UC Berkeley Lectures will be streamed and recorded.
lectures: https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A
https://rail.eecs.berkeley.edu/deeprlcourse/
YouTube
CS285 Fall 2019
Share your videos with friends, family, and the world
OpenAI’s GPT-2 Text Generator: Wise As a Scholar
https://www.youtube.com/watch?v=0OtZ8dUFxXA
OpenAI's post: https://openai.com/blog/gpt-2-6-month-follow-up/
https://www.youtube.com/watch?v=0OtZ8dUFxXA
OpenAI's post: https://openai.com/blog/gpt-2-6-month-follow-up/
YouTube
OpenAI’s GPT-2 Is Now Available - It Is Wise as a Scholar! 🎓
❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers
Weights & Biases blog post (the notebook is available too!)
- https://www.wandb.com/articles/visualize-xgboost-in-one-line
- https://colab.research.google.com/d…
Weights & Biases blog post (the notebook is available too!)
- https://www.wandb.com/articles/visualize-xgboost-in-one-line
- https://colab.research.google.com/d…
Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
https://huggingface.co/transformers
https://huggingface.co/transformers
Probability for Machine Learning ( FREE 7-Day Mini-Course)
https://machinelearningmastery.com/probability-for-machine-learning-7-day-mini-course/
https://machinelearningmastery.com/probability-for-machine-learning-7-day-mini-course/
MachineLearningMastery.com
Probability for Machine Learning (7-Day Mini-Course) - MachineLearningMastery.com
Probability for Machine Learning Crash Course. Get on top of the probability used in machine learning in 7 days. Probability is a field of mathematics that is universally agreed to be the bedrock for machine learning. Although probability is a large field…
Releasing a new benchmark and data set for evaluating neural code search models
https://ai.facebook.com/blog/neural-code-search-evaluation-dataset/
article: https://arxiv.org/abs/1908.09804
code: https://github.com/facebookresearch/Neural-Code-Search-Evaluation-Dataset
https://ai.facebook.com/blog/neural-code-search-evaluation-dataset/
article: https://arxiv.org/abs/1908.09804
code: https://github.com/facebookresearch/Neural-Code-Search-Evaluation-Dataset
Facebook
Releasing a new benchmark and dataset for evaluating neural code search models
We are releasing a new benchmark and dataset to evaluate performance across various neural code search techniques to make it easier to evaluate a new model on a common set of questions.
Causal Bayesian Networks: A flexible tool to enable fairer machine learning
https://deepmind.com/blog/article/Causal_Bayesian_Networks
https://deepmind.com/blog/article/Causal_Bayesian_Networks
Deepmind
Causal Bayesian Networks: A flexible tool to enable fairer machine learning
Decisions based on machine learning (ML) are potentially advantageous over human decisions, as they do not suffer from the same subjectivity, and can be more accurate and easier to analyse. At the same time, data used to train ML systems often contain human…
COMPSCI 282BR - Interpretability and Explainability in Machine Learning
https://interpretable-ml-class.github.io
https://interpretable-ml-class.github.io
interpretable-ml-class.github.io
Explainable AI Course
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
https://ai.googleblog.com/2019/10/robel-robotics-benchmarks-for-learning.html
https://ai.googleblog.com/2019/10/robel-robotics-benchmarks-for-learning.html
Googleblog
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Detectron2: A PyTorch-based modular object detection library
https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/
Detectron2 is FAIR's next-generation research platform for object detection and segmentation
https://github.com/facebookresearch/detectron2
https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/
Detectron2 is FAIR's next-generation research platform for object detection and segmentation
https://github.com/facebookresearch/detectron2
Meta
Detectron2: A PyTorch-based modular object detection library
We are open-sourcing Detectron2, the second-generation of our widely used object-recognition platform. Detectron2 has been rewritten from the ground up in PyTorch to enable faster model iteration and deployment.
The Biggest Threat of Deepfakes Isn’t the Deepfakes Themselves
https://medium.com/mit-technology-review/the-biggest-threat-of-deepfakes-isnt-the-deepfakes-themselves-16de646f51c0
https://medium.com/mit-technology-review/the-biggest-threat-of-deepfakes-isnt-the-deepfakes-themselves-16de646f51c0
Medium
The Biggest Threat of Deepfakes Isn’t the Deepfakes Themselves
The mere idea of AI-synthesized media is already making people stop believing that real things are real
A Gentle Introduction to Bayesian Belief Networks
https://machinelearningmastery.com/introduction-to-bayesian-belief-networks
https://machinelearningmastery.com/introduction-to-bayesian-belief-networks
Machine Learning Frameworks in 2019
https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
The Gradient
The State of Machine Learning Frameworks in 2019
Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners. From the early academic outputs Caffe and Theano to the massive industry-backed PyTorch…
Open-sourcing mvfst-rl, a research platform for managing network congestion with reinforcement learning
https://ai.facebook.com/blog/open-sourcing-mvfst-rl-a-research-platform-for-managing-network-congestion-with-reinforcement-learning/
code: https://github.com/facebookresearch/mvfst-rl
https://ai.facebook.com/blog/open-sourcing-mvfst-rl-a-research-platform-for-managing-network-congestion-with-reinforcement-learning/
code: https://github.com/facebookresearch/mvfst-rl
Meta
Open-sourcing mvfst-rl, a research platform for managing network congestion with reinforcement learning
We’re open-sourcing a new platform for experimenting with reinforcement learning to proactively adapt to changing traffic patterns.
Information Gain and Mutual Information for Machine Learning
https://machinelearningmastery.com/information-gain-and-mutual-information/
https://machinelearningmastery.com/information-gain-and-mutual-information/
AttoNets, A New AI That is Faster & Efficient For Edge Computing
https://www.marktechpost.com/2019/10/11/attonets-a-new-ai-that-is-faster-efficient-for-edge-computing/
Paper: https://arxiv.org/pdf/1903.07209.pdf
https://www.marktechpost.com/2019/10/11/attonets-a-new-ai-that-is-faster-efficient-for-edge-computing/
Paper: https://arxiv.org/pdf/1903.07209.pdf
MarkTechPost
AttoNets, A New AI That is Faster & Efficient For Edge Computing
An AI team at the University of Waterloo, Canada, developed a new type of compact family of deep neural networks (AttoNets), which can even run on smartphones, tablets, and other mobile devices. The main problem with available neural networks is they require…
Recent advances in low-resource machine translation
https://ai.facebook.com/blog/recent-advances-in-low-resource-machine-translation/
https://ai.facebook.com/blog/recent-advances-in-low-resource-machine-translation/
Facebook
Recent advances in low-resource machine translation
Recently, Facebook AI has advanced state-of-the-art results in key language understanding tasks and also launched a new benchmark to push AI systems further
Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
article: https://arxiv.org/abs/1909.11236
video: https://youtu.be/wmVKbX7MOnU
code: https://github.com/harvard-edge/source-seeking
article: https://arxiv.org/abs/1909.11236
video: https://youtu.be/wmVKbX7MOnU
code: https://github.com/harvard-edge/source-seeking
AI Learns Human Movement From Unorganized Data 🏃♀️
https://www.youtube.com/watch?v=882O_7hsAms
📝 The paper "Learning Predict-and-Simulate Policies From Unorganized Human Motion Data»
https://mrl.snu.ac.kr/publications/ProjectICC/ICC.html
https://www.youtube.com/watch?v=882O_7hsAms
📝 The paper "Learning Predict-and-Simulate Policies From Unorganized Human Motion Data»
https://mrl.snu.ac.kr/publications/ProjectICC/ICC.html
YouTube
AI Learns Human Movement From Unorganized Data 🏃♀️
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers
📝 The paper "Learning Predict-and-Simulate Policies From Unorganized Human Motion Data" is available here:
https://mrl.snu.ac.kr/publications/ProjectICC/ICC.html
🙏 We…
📝 The paper "Learning Predict-and-Simulate Policies From Unorganized Human Motion Data" is available here:
https://mrl.snu.ac.kr/publications/ProjectICC/ICC.html
🙏 We…
Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
video: https://www.youtube.com/watch?v=-5XxXRABXJs&feature=youtu.be
code: https://github.com/MIT-SPARK/Kimera
article: https://arxiv.org/abs/1910.02490
video: https://www.youtube.com/watch?v=-5XxXRABXJs&feature=youtu.be
code: https://github.com/MIT-SPARK/Kimera
article: https://arxiv.org/abs/1910.02490
YouTube
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
Code available: https://github.com/MIT-SPARK/Kimera
Paper: https://arxiv.org/abs/1910.02490
Kimera has also been used in:
- 3D Dynamic Scene Graphs:
Video: https://www.youtube.com/watch?v=SWbofjhyPzI&feature=youtu.be
Paper: https://arxiv.org/abs/2002.06289…
Paper: https://arxiv.org/abs/1910.02490
Kimera has also been used in:
- 3D Dynamic Scene Graphs:
Video: https://www.youtube.com/watch?v=SWbofjhyPzI&feature=youtu.be
Paper: https://arxiv.org/abs/2002.06289…