denisyarats
Follow
Stars
ExORL: Exploratory Data for Offline Reinforcement Learning
DrQ-v2: Improved Data-Augmented Reinforcement Learning
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
The Differentiable Cross-Entropy Method
Automatic Data-Regularized Actor-Critic (Auto-DrAC)
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce all of our results, and visualization tool for visualize da…
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Turn Python scripts into handouts with Markdown and figures
Implementations of quasi-hyperbolic optimization algorithms.
LSTM and QRNN Language Model Toolkit for PyTorch
Submanifold sparse convolutional networks
An End-To-End, Lightweight and Flexible Platform for Game Research
InferSent sentence embeddings
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Facebook AI Research Sequence-to-Sequence Toolkit
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
stochs: fast stochastic solvers for machine learning in C++ and Cython
A library for efficient similarity search and clustering of dense vectors.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Torch implementation of DeepMask and SharpMask
A toolkit for making real world machine learning and data analysis applications in C++
header only, dependency-free deep learning framework in C++14
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
Theano implementation of Tree RNNs aka Recursive Neural Networks.