Topic: reinforcement-learning Goto Github
Some thing interesting about reinforcement-learning
Some thing interesting about reinforcement-learning
reinforcement-learning,Massively Parallel Deep Reinforcement Learning. 🔥
Organization: ai4finance-foundation
Home Page: https://ai4finance.org
reinforcement-learning,FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Organization: ai4finance-foundation
Home Page: https://ai4finance.org
reinforcement-learning,Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
User: andri27-ts
Home Page: https://andri27-ts.github.io/Reinforcement-Learning/
reinforcement-learning,repository to research & share the machine learning articles
Organization: arxivtimes
Home Page: https://arxivtimes.herokuapp.com/
reinforcement-learning,Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Organization: aws
Home Page: https://sagemaker-examples.readthedocs.io
reinforcement-learning,Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
User: binroot
Home Page: http://www.tensorflowbook.com
reinforcement-learning,Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Organization: bulletphysics
Home Page: http://bulletphysics.org
reinforcement-learning,A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Organization: carperai
reinforcement-learning,Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Organization: d2l-ai
Home Page: https://D2L.ai
reinforcement-learning,ChatGPT资料汇总学习,持续更新......
User: dalinvip
reinforcement-learning,强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Organization: datawhalechina
reinforcement-learning,《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Organization: datawhalechina
reinforcement-learning,Machine learning, in numpy
User: ddbourgin
Home Page: https://numpy-ml.readthedocs.io/
reinforcement-learning,List of Computer Science courses with video lectures.
User: developer-y
reinforcement-learning,PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Organization: dlr-rm
Home Page: https://stable-baselines3.readthedocs.io
reinforcement-learning,📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
User: eugeneyan
reinforcement-learning,An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Organization: farama-foundation
Home Page: https://gymnasium.farama.org
reinforcement-learning,Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Organization: google-deepmind
reinforcement-learning,OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Organization: google-deepmind
reinforcement-learning,StarCraft II Learning Environment
Organization: google-deepmind
reinforcement-learning,Trax — Deep Learning with Clear Code and Speed
Organization: google
reinforcement-learning,A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
User: hijkzzz
reinforcement-learning,This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Organization: huggingface
reinforcement-learning,TensorFlow Tutorials with YouTube Videos
User: hvass-labs
reinforcement-learning,PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
User: ikostrikov
reinforcement-learning,A JavaScript deep learning and reinforcement learning library.
User: janhuenermann
Home Page: http://janhuenermann.com/projects/learning-to-drive
reinforcement-learning,A curated list of awesome self-supervised methods
User: jason718
reinforcement-learning,Deep Reinforcement Learning for Keras.
Organization: keras-rl
Home Page: http://keras-rl.readthedocs.io/
reinforcement-learning,Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
User: kmario23
Home Page: https://deep-learning-drizzle.github.io
reinforcement-learning,[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
Organization: kwai
Home Page: https://douzero.org/
reinforcement-learning,🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Organization: labmlai
Home Page: https://nn.labml.ai
reinforcement-learning,A collection of machine learning examples and tutorials.
User: lazyprogrammer
Home Page: https://lazyprogrammer.me
reinforcement-learning,Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
User: lucidrains
reinforcement-learning,Build your neural network easy and fast, 莫烦Python中文教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/torch/
reinforcement-learning,Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/
reinforcement-learning,A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
User: owainlewis
reinforcement-learning,Reading list for research topics in multimodal machine learning
User: pliang279
reinforcement-learning,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Organization: ray-project
Home Page: https://ray.io
reinforcement-learning,Python Implementation of Reinforcement Learning: An Introduction
User: shangtongzhang
reinforcement-learning,A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
User: suragnair
reinforcement-learning,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Organization: tensorflow
reinforcement-learning,Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Organization: tensorlayer
Home Page: http://tensorlayerx.com
reinforcement-learning,A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Organization: tensorpack
reinforcement-learning,The next generation deep reinforcement learning tookit
Organization: tju-drl-lab
reinforcement-learning,Repo for the Deep Reinforcement Learning Nanodegree program
Organization: udacity
Home Page: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
reinforcement-learning,The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Organization: unity-technologies
Home Page: https://unity.com/products/machine-learning-agents
reinforcement-learning,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Organization: vowpalwabbit
Home Page: https://vowpalwabbit.org
reinforcement-learning,High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
User: vwxyzjn
Home Page: http://docs.cleanrl.dev
reinforcement-learning,The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Organization: wandb
Home Page: https://wandb.ai
reinforcement-learning,A course in reinforcement learning in the wild
Organization: yandexdataschool
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