Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
https://github.com/JaminFong/FNA
Paper: https://arxiv.org/abs/2001.02525v1
https://github.com/JaminFong/FNA
Paper: https://arxiv.org/abs/2001.02525v1
PyTorch Geometry
The PyTorch Geometry package is a geometric computer vision library for PyTorch
https://github.com/arraiy/torchgeometry
@ArtificialIntelligencedl
The PyTorch Geometry package is a geometric computer vision library for PyTorch
https://github.com/arraiy/torchgeometry
@ArtificialIntelligencedl
GitHub
GitHub - kornia/kornia: Open Source Differentiable Computer Vision Library
Open Source Differentiable Computer Vision Library - GitHub - kornia/kornia: Open Source Differentiable Computer Vision Library
Using Machine Learning to “Nowcast” Precipitation in High Resolution
https://ai.googleblog.com/2020/01/using-machine-learning-to-nowcast.html
https://ai.googleblog.com/2020/01/using-machine-learning-to-nowcast.html
Google AI Blog
Using Machine Learning to “Nowcast” Precipitation in High Resolution
Posted by Jason Hickey, Senior Software Engineer, Google Research The weather can affect a person’s daily routine in both mundane and se...
This Beautiful Fluid Simulator Warps Time…Kind Of 🌊
https://www.youtube.com/watch?v=wsFgrzYwchQ
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf**
https://www.youtube.com/watch?v=wsFgrzYwchQ
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf**
YouTube
This Beautiful Fluid Simulator Warps Time…Kind Of 🌊
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf…
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf…
DDSP: Differentiable Digital Signal Processing
DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning model, especially as the output layers for audio generation.
Code: https://github.com/magenta/ddsp
Paper: https://arxiv.org/abs/2001.04643v1
DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning model, especially as the output layers for audio generation.
Code: https://github.com/magenta/ddsp
Paper: https://arxiv.org/abs/2001.04643v1
GitHub
GitHub - magenta/ddsp: DDSP: Differentiable Digital Signal Processing
DDSP: Differentiable Digital Signal Processing. Contribute to magenta/ddsp development by creating an account on GitHub.
Advbox: a toolbox to generate adversarial examples that fool neural networks
Code: https://github.com/advboxes/AdvBox
Paper: https://arxiv.org/abs/2001.05574v1
Code: https://github.com/advboxes/AdvBox
Paper: https://arxiv.org/abs/2001.05574v1
GitHub
GitHub - advboxes/AdvBox: Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTor…
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode...
The Two-Pass Softmax Algorithm
Code: https://github.com/google/XNNPACK
Paper: https://arxiv.org/abs/2001.04438v1
Code: https://github.com/google/XNNPACK
Paper: https://arxiv.org/abs/2001.04438v1
GitHub
GitHub - google/XNNPACK: High-efficiency floating-point neural network inference operators for mobile, server, and Web
High-efficiency floating-point neural network inference operators for mobile, server, and Web - google/XNNPACK
Controlling Text Generation with Plug and Play Language Models
https://eng.uber.com/pplm/
Paper: https://arxiv.org/abs/1912.02164
Code: https://github.com/uber-research/PPLM
https://eng.uber.com/pplm/
Paper: https://arxiv.org/abs/1912.02164
Code: https://github.com/uber-research/PPLM
The Autonomous Learning Library: A PyTorch Library for Building Reinforcement Learning Agents
https://autonomous-learning-library.readthedocs.io.
Code: https://github.com/cpnota/autonomous-learning-library
https://autonomous-learning-library.readthedocs.io.
Code: https://github.com/cpnota/autonomous-learning-library
GitHub
GitHub - cpnota/autonomous-learning-library: A PyTorch library for building deep reinforcement learning agents.
A PyTorch library for building deep reinforcement learning agents. - cpnota/autonomous-learning-library
Creating a Custom TFX Component
https://blog.tensorflow.org/2020/01/creating-custom-tfx-component.html/
https://blog.tensorflow.org/2020/01/creating-custom-tfx-component.html/
blog.tensorflow.org
Creating a Custom TFX Component
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
Building richer, real-world data sets to push conversational research forward
https://ai.facebook.com/blog/building-richer-real-world-data-sets-to-push-conversational-research-forward
https://ai.facebook.com/blog/building-richer-real-world-data-sets-to-push-conversational-research-forward
Meta
Building richer, real-world datasets to push conversational research forward
Beat the Bot, which is a game exclusively for researchers on Messenger, helps provide conversational AI researchers with high-signal data. We plan to open-source our dataset to help push dialogue research forward.
The Story of Heads
Code: https://github.com/lena-voita/the-story-of-heads
https://lena-voita.github.io/posts/acl19_heads.html
Paper: https://www.aclweb.org/anthology/P19-1580/
Code: https://github.com/lena-voita/the-story-of-heads
https://lena-voita.github.io/posts/acl19_heads.html
Paper: https://www.aclweb.org/anthology/P19-1580/
GitHub
GitHub - lena-voita/the-story-of-heads: This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention:…
This is a repository with the code for the ACL 2019 paper "Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned" and the ACL 2021 pa...
Towards a Conversational Agent that Can Chat About…Anything
https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html
https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html
research.google
Towards a Conversational Agent that Can Chat About…Anything
Posted by Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Research, Brain Team Modern conversatio...
Deep Graph Matching Consensus
Code: https://github.com/rusty1s/deep-graph-matching-consensus
Paper: https://arxiv.org/abs/2001.09621v1
Code: https://github.com/rusty1s/deep-graph-matching-consensus
Paper: https://arxiv.org/abs/2001.09621v1
Spinning Up in Deep RL
https://spinningup.openai.com/en/latest/
Github: https://github.com/openai/spinningup
https://spinningup.openai.com/en/latest/
Github: https://github.com/openai/spinningup
GitHub
GitHub - openai/spinningup: An educational resource to help anyone learn deep reinforcement learning.
An educational resource to help anyone learn deep reinforcement learning. - openai/spinningup
Encode, Tag and Realize: A Controllable and Efficient Approach for Text Generation
https://ai.googleblog.com/2020/01/encode-tag-and-realize-controllable-and.html
Code: https://github.com/google-research/lasertagger
https://ai.googleblog.com/2020/01/encode-tag-and-realize-controllable-and.html
Code: https://github.com/google-research/lasertagger
Googleblog
Encode, Tag and Realize: A Controllable and Efficient Approach for Text Generation