quantumiracle Goto Github PK

2017-learning-to-run

The Winning Solution for the Learning To Run Challenge 2017

adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

adversarial-robustness-toolbox

ai-deadlines

:alarm_clock: AI conference deadline countdowns

ai_hack_ic

arp

Autoregressive policies for continuous control reinforcement learning

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-deep-rl

This project is for learning and researching on Deep RL. Maintained by University AI researchers.

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awr

Implementation of advantage-weighted regression.

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

benchmark-efficient-reinforcement-learning-with-demonstrations

Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

cascading-decision-tree

Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning

cb-trading

Code to trade the financial markets using Contextual Bandits

circlepacking

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

consistency-trajectory-model

consistency_model_for_reinforcement_learning

Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24

consistency_models

Unofficial Implementation of Consistency Models in pytorch

convolutional_variational_autoencoder

cos513_project

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

d4pg

Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepcolor

Automatic coloring and shading of manga-style lineart, using Tensorflow + cGANs

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)