brain-research Goto Github PK
Name: Brain Research
Type: Organization
Name: Brain Research
Type: Organization
Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
The Singular Values of Convolutional Layers
The Data Linter identifies potential issues (lints) in your ML training data.
Mass Spectrometry for Small Molecules using Deep Learning
A potentially infinite dataset of coloured shapes which bounce around on a black background.
Guided Evolutionary Strategies
Patched version of HOL Light with tactic logging for machine learning purposes
TensorFlow source code for learning embeddings of text sequences in an unsupervised manner.
TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
Leave No Trace is an algorithm for safe reinforcement learning.
Implementation of Hierarchical Long-term Video Prediction without Supervision
Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
Fork of https://github.com/wgrathwohl/BackpropThroughTheVoidRL with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
Fork of https://github.com/s…ixiang/rllabplusplus with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
Fork of https://github.com/DartML/PPO-Stein-Control-Variate with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
Fork of https://github.com/ikostrikov/pytorch-trpo with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
Open source implementation of "Neural Message Passing for Quantum Chemistry"
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Deep neural network kernel for Gaussian process
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
A library for performing coverage guided fuzzing of neural networks
Work in progress inference, learning, and evaluation code for extractive summarization.
LSTM language model on LAMBADA dataset
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.