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A toolbox for analysis and highly-customizable visualization of single cell data

R 4 2 Updated Aug 6, 2020

This repository contains implementations and illustrative code to accompany DeepMind publications

Jupyter Notebook 13,595 2,631 Updated Nov 18, 2024

Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583

Python 18 3 Updated Oct 22, 2019

Evolution Strategies Tool

Jupyter Notebook 947 162 Updated Dec 8, 2022

Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)

Python 65 13 Updated Apr 29, 2019

A PyTorch implementation of OpenAI's REPTILE algorithm

Jupyter Notebook 216 36 Updated Dec 31, 2019

My .vimrc

Vim Script 3 1 Updated Feb 18, 2023

Velocity in deep-learning research

Python 276 33 Updated Dec 8, 2022

A formatter for Python files

Python 13,858 896 Updated Mar 10, 2025

An educational resource to help anyone learn deep reinforcement learning.

Python 10,635 2,290 Updated Aug 5, 2024

Python library to easily log experiments and parallelize hyperparameter search for neural networks

JavaScript 734 74 Updated Jul 22, 2022

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Python 3,700 833 Updated May 29, 2022

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

Python 236 38 Updated Apr 16, 2018

Sokoban environment for OpenAI Gym

Python 350 84 Updated Nov 8, 2023

Gin provides a lightweight configuration framework for Python

Python 2,086 114 Updated Dec 4, 2024

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Jupyter Notebook 10,660 1,385 Updated Nov 4, 2024

Reinforcement learning algorithms for MuJoCo tasks

Python 388 103 Updated Jun 10, 2024

Code for the paper Implicit Weight Uncertainty in Neural Networks

Jupyter Notebook 65 16 Updated Nov 14, 2019

Easy TensorFlow logging for quick prototypes

Python 110 9 Updated Oct 20, 2021

Python and C++ code for reading and writing genomics data.

C++ 787 124 Updated Dec 9, 2021

Simple and easily configurable grid world environments for reinforcement learning

Python 2,189 618 Updated Feb 6, 2025

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Python 1,171 190 Updated Feb 9, 2021

A technical report on convolution arithmetic in the context of deep learning

TeX 14,247 2,292 Updated Jun 8, 2023

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

Python 658 123 Updated Sep 6, 2019

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Python 466 92 Updated Jul 31, 2019

Code to accompany the paper "Learning Graphical State Transitions"

Python 169 21 Updated May 9, 2017

Implementation of REBAR in PyTorch

Jupyter Notebook 17 8 Updated Jul 18, 2018

PyTorch Agent Net: reinforcement learning toolkit for pytorch

Python 541 168 Updated Oct 29, 2024

A short guide on features of Python 3 with examples

3,615 198 Updated May 3, 2021
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