jjacob666's Stars
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
lm-sys/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
sgl-project/sglang
SGLang is a fast serving framework for large language models and vision language models.
fastai/fastai
The fastai deep learning library
open-compass/opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
ryanhanwu/How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
lancedb/lancedb
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
zjunlp/TRICE
[NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback
zjunlp/LLMAgentPapers
Must-read Papers on LLM Agents.
microsoft/ProphetNet
A research project for natural language generation, containing the official implementations by MSRA NLC team.
microsoft/RecAI
Bridging LLM and Recommender System.
feifeibear/LLMSpeculativeSampling
Fast inference from large lauguage models via speculative decoding
SafeAILab/EAGLE
Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)
flexflow/FlexFlow
FlexFlow Serve: Low-Latency, High-Performance LLM Serving
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
leptonai/search_with_lepton
Building a quick conversation-based search demo with Lepton AI.
lucidrains/self-rewarding-lm-pytorch
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
huggingface/candle
Minimalist ML framework for Rust
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
THUIR/T2Ranking
T2Ranking: A large-scale Chinese benchmark for passage ranking.
Wang-Shuo/A-Guide-to-Retrieval-Augmented-LLM
an intro to retrieval augmented large language model
modelscope/modelscope-agent
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
jrieke/traingenerator
🧙 A web app to generate template code for machine learning
run-llama/rags
Build ChatGPT over your data, all with natural language
stochasticai/xTuring
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
zorazrw/filco
[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton
liucongg/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