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agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

awesome-deep-learning-papers

The most cited deep learning papers

base

Скрипт по работе с Base

cake_sniper

EVM frontrunning tool

catalyst

An Algorithmic Trading Library for Crypto-Assets in Python

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges

cifar10-fast

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

content

Official content for Harvard CS109

cs294_homework

My solutions to Berkeley's CS294 (Deep Reinforcement Learning) Homework

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

deep-rl-berkeley

Solving homeworks for Berekeley Deep Reinforcement Learning Course

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deepreinforcementlearning

CS 294: Deep Reinforcement Learning, Spring 2017 Berkeley

deepul

determined

Determined: Deep Learning Training Platform

diffusionfastforward

DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

distributional-dqn

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

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dopamine

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

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

drl

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

efficient-pytorch

My best practice of training large dataset using PyTorch.

freqtrade

Free, open source crypto trading bot

grokking-system-design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

grokking-the-coding-interview-patterns-for-coding-questions

gym-nes-mario-bros

🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game

gym-super-mario-bros

An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES