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adaptivefs

Adaptive feature selection using reinforcement learning

amc-release

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

atari

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

automl

Google Brain AutoML

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cpython

The Python programming language

cyclic-voltammetry-simulator

A simple cyclic voltammetry simulator, built as a MATLAB app. Based on Appendix B in Bard & Faulkner.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

distributional-dqn

Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

distributional_perspective_on_rl

Implementation of A Distributional Perspective on Reinforcement Learning

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

dqn-for-autonomous-vehicles

drl-wireless-networks

Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events

ecos

A lightweight conic solver for second-order cone programming.

efficient-object-detection-model-on-pytorch

[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai

The fastai deep learning library, plus lessons and tutorials

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

first-cycle-sei-on-carbon-black

Figures for paper on first cycle SEI growth on carbon black

geometric-deep-learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.