Pinned Repositories
acai
Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
deep-molecular-massspec
Mass Spectrometry for Small Molecules using Deep Learning
guided-evolutionary-strategies
Guided Evolutionary Strategies
l2hmc
TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
long-term-video-prediction-without-supervision
Implementation of Hierarchical Long-term Video Prediction without Supervision
mpnn
Open source implementation of "Neural Message Passing for Quantum Chemistry"
nngp
Deep neural network kernel for Gaussian process
realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
self-attention-gan
tensorfuzz
A library for performing coverage guided fuzzing of neural networks
Brain Research's Repositories
brain-research/self-attention-gan
brain-research/realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
brain-research/guided-evolutionary-strategies
Guided Evolutionary Strategies
brain-research/acai
Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
brain-research/mpnn
Open source implementation of "Neural Message Passing for Quantum Chemistry"
brain-research/tensorfuzz
A library for performing coverage guided fuzzing of neural networks
brain-research/nngp
Deep neural network kernel for Gaussian process
brain-research/l2hmc
TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
brain-research/deep-molecular-massspec
Mass Spectrometry for Small Molecules using Deep Learning
brain-research/long-term-video-prediction-without-supervision
Implementation of Hierarchical Long-term Video Prediction without Supervision
brain-research/data-linter
The Data Linter identifies potential issues (lints) in your ML training data.
brain-research/conv-sv
The Singular Values of Convolutional Layers
brain-research/ncp
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
brain-research/mean-field-cnns
brain-research/hol-light
Patched version of HOL Light with tactic logging for machine learning purposes
brain-research/mirage-rl
Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
brain-research/LeaveNoTrace
Leave No Trace is an algorithm for safe reinforcement learning.
brain-research/fisher-rao-regularization
brain-research/wip-lambada-lm
LSTM language model on LAMBADA dataset
brain-research/hyperbolictext
TensorFlow source code for learning embeddings of text sequences in an unsupervised manner.
brain-research/wip-constrained-extractor
Work in progress inference, learning, and evaluation code for extractive summarization.
brain-research/flying-shapes
A potentially infinite dataset of coloured shapes which bounce around on a black background.
brain-research/metaq
brain-research/mirage-rl-trpo
Fork of https://github.com/ikostrikov/pytorch-trpo with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
brain-research/mirage-rl-bpttv
Fork of https://github.com/wgrathwohl/BackpropThroughTheVoidRL with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
brain-research/mirage-rl-qprop
Fork of https://github.com/s…ixiang/rllabplusplus with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".
brain-research/.allstar
brain-research/.github
brain-research/mirage-rl-stein
Fork of https://github.com/DartML/PPO-Stein-Control-Variate with modifications for the paper "The Mirage of Action-Dependent Baselines in Reinforcement Learning".