garyfanhku

system-design

Learn how to design systems at scale and prepare for system design interviews

MOSS

An open-source tool-augmented conversational language model from Fudan University

h2ogpt

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

Huatuo-Llama-Med-Chinese

Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

ChatGLM-Tuning

基于ChatGLM-6B + LoRA的Fintune方案

ChatGLM-Efficient-Tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

recognize-anything

Open-source and strong foundation image recognition models.

ChatGLM-Finetuning

基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等

RecommenderSystem

pandallm

Panda项目是于2023年5月启动的开源海外中文大语言模型项目，致力于大模型时代探索整个技术栈，旨在推动中文自然语言处理领域的创新和合作。

MeZO

[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

DoctorGLM

基于ChatGLM-6B的中文问诊模型

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

pytorch-custom-cuda-tutorial

Tutorial for building a custom CUDA function for Pytorch

Awesome-Multimodal-LLM

Research Trends in LLM-guided Multimodal Learning.

Awesome-Sentence-Embedding

A curated list of research papers in Sentence Reprsentation Learning and a sts leaderboard of sentence embeddings.

openlimit

Maximize your usage of OpenAI models without hitting rate limits

Blog-Posts

Code and notebooks for my Medium blog posts

ICLR2023-OpenReviewData

Crawl & Visualize ICLR 2023 Data from OpenReview

mr_uplift

Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses

HiNet

Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

Awesome-Causal-Papers

We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)

playground

DualFair

pessimism-recsys-2021

Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.

gems

bayes_ab

Bayesian A/B testing

2022-doubly-robust-LTR