How-to Get Started with Machine Learning on Arduino
https://medium.com/tensorflow/how-to-get-started-with-machine-learning-on-arduino-7daf95b4157
TensorFlow Lite for Microcontrollers
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/experimental/micro
TensorFlow Lite for Microcontrollers
https://www.tensorflow.org/lite/microcontrollers/overview
https://medium.com/tensorflow/how-to-get-started-with-machine-learning-on-arduino-7daf95b4157
TensorFlow Lite for Microcontrollers
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/experimental/micro
TensorFlow Lite for Microcontrollers
https://www.tensorflow.org/lite/microcontrollers/overview
Medium
How-to Get Started with Machine Learning on Arduino
A guest post by Sandeep Mistry & Dominic Pajak of the Arduino team
Solving Rubik’s Cube with a Robot Hand
https://openai.com/blog/solving-rubiks-cube/
paper: https://d4mucfpksywv.cloudfront.net/papers/solving-rubiks-cube.pdf
video: https://www.youtube.com/playlist?list=PLOXw6I10VTv9HODt7TFEL72K3Q6C4itG6
https://openai.com/blog/solving-rubiks-cube/
paper: https://d4mucfpksywv.cloudfront.net/papers/solving-rubiks-cube.pdf
video: https://www.youtube.com/playlist?list=PLOXw6I10VTv9HODt7TFEL72K3Q6C4itG6
Openai
Solving Rubik’s Cube with a robot hand
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic…
Open-sourcing ReAgent, a modular, end-to-end platform for building reasoning systems
https://ai.facebook.com/blog/open-sourcing-reagent-a-platform-for-reasoning-systems/
interactive tutorial: http://reagent.ai/rasp_tutorial.html
https://ai.facebook.com/blog/open-sourcing-reagent-a-platform-for-reasoning-systems/
interactive tutorial: http://reagent.ai/rasp_tutorial.html
Facebook
Open-sourcing ReAgent, a modular, end-to-end platform for building reasoning systems
Facebook AI is open-sourcing ReAgent, the most comprehensive and modular open source platform for creating AI-based reasoning systems, and the first to include policy evaluation to incorporate offline feedback.
Video Architecture Search
http://ai.googleblog.com/2019/10/video-architecture-search.html
Evolving Space-Time Neural Architectures for Videos
https://github.com/google-research/google-research/tree/master/evanet
Tiny Video Networks
https://arxiv.org/abs/1910.06961
http://ai.googleblog.com/2019/10/video-architecture-search.html
Evolving Space-Time Neural Architectures for Videos
https://github.com/google-research/google-research/tree/master/evanet
Tiny Video Networks
https://arxiv.org/abs/1910.06961
Googleblog
Video Architecture Search
Naive Bayes Classifier From Scratch in Python
https://machinelearningmastery.com/naive-bayes-classifier-scratch-python/
https://machinelearningmastery.com/naive-bayes-classifier-scratch-python/
Benchmarking Transformers: PyTorch and TensorFlow
https://medium.com/huggingface/benchmarking-transformers-pytorch-and-tensorflow-e2917fb891c2
https://medium.com/huggingface/benchmarking-transformers-pytorch-and-tensorflow-e2917fb891c2
Medium
Benchmarking Transformers: PyTorch and TensorFlow
Our Transformers library implements several state-of-the-art transformer architectures used for NLP tasks like text classification…
A Gentle Introduction to Cross-Entropy for Machine Learning
https://machinelearningmastery.com/cross-entropy-for-machine-learning/
https://machinelearningmastery.com/cross-entropy-for-machine-learning/
Graph Representation Learning
https://grlearning.github.io/papers/
Awesome Graph Classification
https://github.com/benedekrozemberczki/awesome-graph-classification
https://grlearning.github.io/papers/
Awesome Graph Classification
https://github.com/benedekrozemberczki/awesome-graph-classification
grlearning.github.io
Accepted Papers
NeurIPS 2019 Workshop
Audio and Visual Quality Measurement using Fréchet Distance
http://ai.googleblog.com/2019/10/audio-and-visual-quality-measurement.html
http://ai.googleblog.com/2019/10/audio-and-visual-quality-measurement.html
research.google
Audio and Visual Quality Measurement Using Fréchet Distance
Posted by Kevin Kilgour, Software Engineer and Thomas Unterthiner, Research Software Engineer, Google Research, Zürich "I often say that when you...
Deepfake Detection Challenge: AWS and new academics join, initial data set released
https://ai.facebook.com/blog/deepfake-detection-challenge-aws-and-new-academics-join/
The Deepfake Detection Challenge (DFDC) Preview Dataset
https://arxiv.org/abs/1910.08854?fbclid=IwAR2F6Z-BVoxoc9TlhUYIx-yMkMF9XzkbWj38Hj0HYK5tFJ6zYNXfwUzsP6w
https://deepfakedetectionchallenge.ai/?fbclid=IwAR0b0AhrWFUMzwOaZuZMhv8UVrCu7Jcfj5_I66rwvL54089bI4ysNNYWbz4
https://ai.facebook.com/blog/deepfake-detection-challenge-aws-and-new-academics-join/
The Deepfake Detection Challenge (DFDC) Preview Dataset
https://arxiv.org/abs/1910.08854?fbclid=IwAR2F6Z-BVoxoc9TlhUYIx-yMkMF9XzkbWj38Hj0HYK5tFJ6zYNXfwUzsP6w
https://deepfakedetectionchallenge.ai/?fbclid=IwAR0b0AhrWFUMzwOaZuZMhv8UVrCu7Jcfj5_I66rwvL54089bI4ysNNYWbz4
Facebook
Deepfake Detection Challenge: AWS and new academics join, initial dataset released
The Deepfake Detection Challenge is adding new partners, including Amazon Web Services, and also sharing an initial dataset of videos.
Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules
https://ai.googleblog.com/2019/10/learning-to-smell-using-deep-learning.html
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
https://arxiv.org/abs/1910.10685
https://ai.googleblog.com/2019/10/learning-to-smell-using-deep-learning.html
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
https://arxiv.org/abs/1910.10685
research.google
Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Mo
Posted by Alexander B Wiltschko, Senior Research Scientist, Google Research Smell is a sense shared by an incredible range of living organisms, a...
ICCV 2019 papers open access
http://openaccess.thecvf.com/ICCV2019.py
Workshops:
http://openaccess.thecvf.com/ICCV2019_workshops/menu.py
http://openaccess.thecvf.com/ICCV2019.py
Workshops:
http://openaccess.thecvf.com/ICCV2019_workshops/menu.py
A Gentle Introduction to Linear Regression With Maximum Likelihood Estimation
https://machinelearningmastery.com/linear-regression-with-maximum-likelihood-estimation/
https://machinelearningmastery.com/linear-regression-with-maximum-likelihood-estimation/
Build and deploy TensorFlow.js models with the power of AutoML
https://medium.com/tensorflow/build-and-deploy-tensorflow-js-models-with-the-power-of-automl-1985b8985083
Edge TensorFlow.js tutorial
https://cloud.google.com/vision/automl/docs/tensorflow-js-tutorial
AutoML Edge API
https://www.npmjs.com/package/@tensorflow/tfjs-automl
https://medium.com/tensorflow/build-and-deploy-tensorflow-js-models-with-the-power-of-automl-1985b8985083
Edge TensorFlow.js tutorial
https://cloud.google.com/vision/automl/docs/tensorflow-js-tutorial
AutoML Edge API
https://www.npmjs.com/package/@tensorflow/tfjs-automl
Medium
Build and deploy TensorFlow.js models with the power of AutoML
Posted by Daniel Smilkov, Sandeep Gupta, and Vishy Tirumalashetty
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
https://github.com/flowersteam/teachDeepRL
https://github.com/flowersteam/teachDeepRL
GitHub
GitHub - flowersteam/teachDeepRL
Contribute to flowersteam/teachDeepRL development by creating an account on GitHub.
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
https://meta-world.github.io/
article: https://arxiv.org/abs/1910.10897v1
github: https://github.com/rlworkgroup/metaworld
https://meta-world.github.io/
article: https://arxiv.org/abs/1910.10897v1
github: https://github.com/rlworkgroup/metaworld
arXiv.org
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta...
Meta-reinforcement learning algorithms can enable robots to acquire new
skills much more quickly, by leveraging prior experience to learn how to learn.
However, much of the current research on...
skills much more quickly, by leveraging prior experience to learn how to learn.
However, much of the current research on...
Open-sourcing SlowFast, competition-leading video recognition through dual frame-rate analysis
https://ai.facebook.com/blog/slowfast-video-recognition-through-dual-frame-rate-analysis/
github: https://github.com/facebookresearch/SlowFast
paper: https://arxiv.org/abs/1812.03982
https://ai.facebook.com/blog/slowfast-video-recognition-through-dual-frame-rate-analysis/
github: https://github.com/facebookresearch/SlowFast
paper: https://arxiv.org/abs/1812.03982
Facebook
Open-sourcing SlowFast, competition-leading video recognition through dual frame-rate analysis
SlowFast is a new, open source video recognition technique that uses separate pathways to look for spatial features (such as colors and textures) and temporal features (such as rapid motion).
Deep Learning Drizzle
code: https://github.com/kmario23/deep-learning-drizzle
https://deep-learning-drizzle.github.io
code: https://github.com/kmario23/deep-learning-drizzle
https://deep-learning-drizzle.github.io
GitHub
GitHub - kmario23/deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision…
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! - kmario23/deep-learning-drizzle
Introducing the Schema-Guided Dialogue Dataset for Conversational Assistants
http://ai.googleblog.com/2019/10/introducing-schema-guided-dialogue.html
Schema-Guided Dialogue State Tracking
https://github.com/google-research-datasets/dstc8-schema-guided-dialogue
article : https://arxiv.org/pdf/1909.05855.pdf
http://ai.googleblog.com/2019/10/introducing-schema-guided-dialogue.html
Schema-Guided Dialogue State Tracking
https://github.com/google-research-datasets/dstc8-schema-guided-dialogue
article : https://arxiv.org/pdf/1909.05855.pdf
research.google
Introducing the Schema-Guided Dialogue Dataset for Conversational Assistants
Posted by Abhinav Rastogi, Software Engineer and Pranav Khaitan, Engineering Lead, Google Research Today's virtual assistants help users to accom...