Meiru Zhang's starred repositories

open-webui

User-friendly WebUI for AI (Formerly Ollama WebUI)

Language:SvelteLicense:MITStargazers:41017Issues:0Issues:0
Language:PythonStargazers:25Issues:0Issues:0

AnyGraph

"AnyGraph: Graph Foundation Model in the Wild"

Language:PythonStargazers:108Issues:0Issues:0

prompt-poet

Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

Language:PythonLicense:MITStargazers:861Issues:0Issues:0

Deep-Dive-Into-AI-With-MLX-PyTorch

"Deep Dive into AI with MLX and PyTorch" is an educational initiative designed to help anyone interested in AI, specifically in machine learning and deep learning, using Apple's MLX and Meta's PyTorch frameworks.

Language:PythonLicense:MITStargazers:350Issues:0Issues:0

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

Language:PythonLicense:MITStargazers:17729Issues:0Issues:0

strwythura

How to construct knowledge graphs from unstructured data sources

Language:Jupyter NotebookLicense:MITStargazers:73Issues:0Issues:0

transformer-explainer

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

Language:JavaScriptLicense:MITStargazers:2669Issues:0Issues:0

ragbuilder

A toolkit to create optimal Production-ready RAG setup for your data

Language:PythonLicense:Apache-2.0Stargazers:420Issues:0Issues:0

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonLicense:Apache-2.0Stargazers:132818Issues:0Issues:0

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Language:PythonLicense:Apache-2.0Stargazers:1642Issues:0Issues:0

BRIGHT

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Language:PythonLicense:CC-BY-4.0Stargazers:44Issues:0Issues:0

FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

Language:PythonLicense:MITStargazers:1159Issues:0Issues:0

LLaMA-Factory

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Language:PythonLicense:Apache-2.0Stargazers:31787Issues:0Issues:0

Time-LLM

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

Language:PythonLicense:Apache-2.0Stargazers:1279Issues:0Issues:0

llama-zip

LLM-powered lossless compression tool

Language:PythonLicense:NOASSERTIONStargazers:249Issues:0Issues:0

chat_templates

Chat Templates for 🤗 HuggingFace Large Language Models

Language:JinjaLicense:MITStargazers:480Issues:0Issues:0

gpqa

GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Language:Jupyter NotebookLicense:MITStargazers:149Issues:0Issues:0

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7908Issues:0Issues:0

MInference

To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while maintaining accuracy.

Language:PythonLicense:MITStargazers:715Issues:0Issues:0

MiniChain

A tiny library for coding with large language models.

Language:PythonLicense:MITStargazers:1208Issues:0Issues:0

dspy

DSPy: The framework for programming—not prompting—foundation models

Language:PythonLicense:MITStargazers:17394Issues:0Issues:0

lm-evaluation-harness

A framework for few-shot evaluation of language models.

Language:PythonLicense:MITStargazers:6576Issues:0Issues:0

BAND

A well-annotated Biomedical Alert News Dataset

Language:PythonStargazers:2Issues:0Issues:0
Language:Jupyter NotebookStargazers:5Issues:0Issues:0

math

The MATH Dataset (NeurIPS 2021)

Language:PythonLicense:MITStargazers:844Issues:0Issues:0

PicGo

:rocket:A simple & beautiful tool for pictures uploading built by vue-cli-electron-builder

Language:TypeScriptLicense:MITStargazers:23920Issues:0Issues:0
Stargazers:12Issues:0Issues:0

skypilot

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Language:PythonLicense:Apache-2.0Stargazers:6617Issues:0Issues:0