Joshua-Ren

Joshua-Ren's Stars

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python37.1k3531.8k4.6k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python35k2135.4k4.3k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.4k1943822.2k

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.9k621.5k567

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python7.2k745171.1k

• WooooDyy/LLM-Agent-Paper-List

  The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

  6.9k13914410

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python4.9k12158451

• huggingface/alignment-handbook

  Robust recipes to align language models with human and AI preferences

  Language:Python4.7k112137414

• EleutherAI/pythia

  The hub for EleutherAI's work on interpretability and learning dynamics

  Language:Jupyter Notebook2.3k33109173

• eric-mitchell/direct-preference-optimization

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python2.2k1982183

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python2k17113449

• thuml/Autoformer

  About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

  Language:Jupyter Notebook2k15208425

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.6k13117281

• uclaml/SPIN

  The official implementation of Self-Play Fine-Tuning (SPIN)

  Language:Python1.1k123192

• ContextualAI/HALOs

  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

  Language:Python74882445

• MAZiqing/FEDformer

  Language:Python649786123

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python44053282

• princeton-nlp/LESS

  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

  Language:Jupyter Notebook37753537

• djsutherland/arxiv-collector

  A little Python script to collect LaTeX sources for upload to the arXiv.

  Language:Python33331723

• LLaMafia/llamafia.github

  Language:Python31521216

• scienceetonnante/grokking

  Language:Jupyter Notebook54304

• KindXiaoming/Omnigrok

  Omnigrok: Grokking Beyond Algorithmic Data

  Language:Jupyter Notebook513015

• shuyhere/about-super-alignment

  Feeling confused about super alignment? Here is a reading list

  43301

• linlu-qiu/lm-inductive-reasoning

  Language:Python28216

• tommccoy1/embers-of-autoregression

  Language:Jupyter Notebook24101

• carlguo866/circle-survival

  Code repository for "Survival of the Fittest Representation: A Case Study with Modular Addition."

  Language:Python8100

• Shawn-Guo-CN/SFT_function_learning

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python8001

• ServiceNow/THANOS

  This ANOmaly is Synthetic - A Timeseries Recipe Data Generator

  Language:Jupyter Notebook530

• Joshua-Ren/Learning_dynamics_LLM

  Language:Jupyter Notebook40

• Joshua-Ren/iICL

  Language:Jupyter Notebook2200