hch1017

hch1017's Stars

• hiyouga/LLaMA-Factory

  A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python26k3.2k

• google-deepmind/opro

  official code for "Large Language Models as Optimizers"

  Language:Python31731

• eugeneyan/open-llms

  📋 A list of open LLMs available for commercial use.

  10.6k661

• RL4VLM/RL4VLM

  Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

  Language:Jupyter Notebook14414

• ysymyth/ReAct

  [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

  Language:Jupyter Notebook1.7k179

• salesforce/BOLAA

  Language:Python15416

• noahshinn/reflexion

  [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

  Language:Python2.2k211

• jannerm/trajectory-transformer

  Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

  Language:Python44461

• flowersteam/lamorel

  Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).

  Language:Python17414

• flowersteam/Grounding_LLMs_with_online_RL

  We perform functional grounding of LLMs' knowledge in BabyAI-Text

  Language:Python20320

• PKU-Alignment/Safe-Policy-Optimization

  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

  Language:Python30844

• tinyzqh/light_mappo

  Lightweight version of MAPPO to help you quickly migrate to your local environment.

  Language:Python42874

• amazon-science/chronos-forecasting

  Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  Language:Python2.1k244

• DAMO-DI-ML/NeurIPS2023-One-Fits-All

  The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

  Language:Python40057

• SCXsunchenxi/TEST

  Language:Python385

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python5.1k855

• chauncygu/Multi-Agent-Constrained-Policy-Optimisation

  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

  Language:Python13121

• KimMeen/Time-LLM

  [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

  Language:Python1k180

• chennnnnyize/LLM_PowerSystems

  Language:Jupyter Notebook112

• xinliangzhou/Survey

  This is a repository contains materials for future survey submission

  9

• Pyosch/vpplib

  Language:Python2920

• TsingZ0/PFLlib

  We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

  Language:Python1.3k272

• akocherovskiy/LLM_as_optimizer

  LLM as optimizer for linear regression problem

  Language:Jupyter Notebook71

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Python88.9k14k

• snwfdhmp/awesome-gpt-prompt-engineering

  A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.

  Language:Python89190

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX46.2k4.5k

• mshumer/gpt-prompt-engineer

  Language:Jupyter Notebook8.2k579

• ngruver/llmtime

  Language:Jupyter Notebook625136

• Infatoshi/fcc-intro-to-llms

  Language:Jupyter Notebook550225

• nikhil3456/Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).

  Language:Jupyter Notebook6510