cin-hubert

cin-hubert

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Location:Da Nang, Vietnam

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cin-hubert's starred repositories

LLaMA-Factory

Unify Efficient Fine-Tuning of 100+ LLMs

Language:PythonLicense:Apache-2.0Stargazers:18953Issues:142Issues:3131

mlx

MLX: An array framework for Apple silicon

ml-engineering

Machine Learning Engineering Open Book

Language:PythonLicense:CC-BY-SA-4.0Stargazers:9729Issues:99Issues:17

chathub

All-in-one chatbot client

Language:TypeScriptLicense:GPL-3.0Stargazers:9489Issues:68Issues:1028
Language:PythonLicense:Apache-2.0Stargazers:9345Issues:97Issues:273

PowerInfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

Language:C++License:MITStargazers:6945Issues:73Issues:126

postgresml

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

Language:RustLicense:MITStargazers:5429Issues:51Issues:204

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Language:PythonLicense:BSD-3-ClauseStargazers:5066Issues:57Issues:80

mlx-examples

Examples in the MLX framework

Language:PythonLicense:MITStargazers:4918Issues:55Issues:314

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

Language:PythonLicense:MITStargazers:4832Issues:32Issues:630

Amphion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

Language:PythonLicense:MITStargazers:3901Issues:50Issues:97

LLMLingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Language:PythonLicense:MITStargazers:3793Issues:28Issues:84

magicoder

Magicoder: Source Code Is All You Need

Language:PythonLicense:MITStargazers:1865Issues:26Issues:35

finetuner

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Language:PythonLicense:Apache-2.0Stargazers:1423Issues:25Issues:252

MetaCLIP

ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

Language:PythonLicense:NOASSERTIONStargazers:992Issues:12Issues:19
Language:PythonLicense:Apache-2.0Stargazers:763Issues:41Issues:48

MixtralKit

A toolkit for inference and evaluation of 'mixtral-8x7b-32kseqlen' from Mistral AI

Language:PythonLicense:Apache-2.0Stargazers:749Issues:9Issues:16

GPT-RAG

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Language:BicepLicense:MITStargazers:667Issues:12Issues:56

ProAgent

An LLM-based Agent for the New Automation Paradigm - Agentic Process Automation

Language:PythonLicense:Apache-2.0Stargazers:653Issues:16Issues:15

DISC-MedLLM

Repository of DISC-MedLLM, it is a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services.

Language:PythonLicense:Apache-2.0Stargazers:415Issues:1Issues:17

llama-mistral

Inference code for Mistral and Mixtral hacked up into original Llama implementation

Language:PythonLicense:NOASSERTIONStargazers:374Issues:5Issues:0

goingmeta

code and resources used in the Going Meta sessions

Language:Jupyter NotebookStargazers:339Issues:34Issues:6

local-llm-function-calling

A tool for generating function arguments and choosing what function to call with local LLMs

Language:PythonLicense:MITStargazers:252Issues:3Issues:13

Machine-Learning-for-Imbalanced-Data

Machine Learning for Imbalanced Data, published by Packt

Language:Jupyter NotebookLicense:MITStargazers:225Issues:6Issues:8

sandbox-topically

Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.

Language:Jupyter NotebookLicense:MITStargazers:200Issues:9Issues:3

Selective_Context

Compress your input to ChatGPT or other LLMs, to let them process 2x more content and save 40% memory and GPU time.

RAP

[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

Language:PythonLicense:MITStargazers:35Issues:7Issues:3

backbone-learn

A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.

Language:PythonLicense:MITStargazers:10Issues:0Issues:0

KGEL

Multi-hop Question Generation with Knowledge Graph-enhanced Language Model

Language:PythonStargazers:6Issues:1Issues:0