Foo1szz

Foo1szz's Stars

• jsikyoon/V-MPO_torch

  V-MPO torch version with DMLab30 and GTrXL

  Language:Python121

• lucidrains/FLASH-pytorch

  Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

  Language:Python34524

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.6k2.5k

• jerrodparker20/adaptive-transformers-in-rl

  Adaptive Attention Span for Reinforcement Learning

  Language:Python13014

• acyclics/MPO

  Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments

  Language:Python254

• YYCAAA/V-MPO_Lunarlander

  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238

  Language:Python446

• cyj407/RL-MPO-DMC

  Language:Python1

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.2k1.4k

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.2k1.8k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.3k15.8k

• datawhalechina/daily-interview

  Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

  Language:HTML2.5k424

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python2.9k423

• kimiyoung/transformer-xl

  Language:Python3.6k762

• booydar/recurrent-memory-transformer

  [NeurIPS 22] [AAAI 24] Recurrent Transformer-based long-context architecture.

  Language:Jupyter Notebook75260

• fmzquant/strategies

  quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)

  4.1k1.4k

• Giseung-Park/BlockSeq

  Code for 'Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning' (AAAI 2022, Oral presentation)

  Language:Python71

• google-research/meliad

  Language:Python24530

• RodkinIvan/Transformer-RL

  Transformers (GTrXL & CoBERL) applied to RL tasks

  Language:Python262

• vidits-kth/gym-radio-scheduler

  Language:Python43

• bjoluc/gymwipe

  OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops

  Language:Python113

• microsoft/JARVIS

  JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

  Language:Python23.6k2k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.4k8k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k4k

• quantumiracle/Popular-RL-Algorithms

  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

  Language:Jupyter Notebook1.1k123

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.3k1.9k

• TianhongDai/reinforcement-learning-algorithms

  This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

  Language:Python663109

• higgsfield-ai/higgsfield

  Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

  Language:Jupyter Notebook3.3k554

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.8k1.1k

• ikostrikov/pytorch-a2c-ppo-acktr-gail

  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).

  Language:Python3.6k829

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML111k15.2k