Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Interact with your documents using the power of GPT, 100% privately, no data leaks
No fortress, purely open ground. OpenManus is Coming.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Streamlit — A faster way to build and share data apps.
Making large AI models cheaper, faster and more accessible
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Generative Models by Stability AI
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
SGLang is a high-performance serving framework for large language models and multimodal models.
Universal LLM Deployment Engine with ML Compilation
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
Machine Learning Engineering Open Book
Create web-based user interfaces with Python. The nice way.
An open source implementation of CLIP.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
The official GitHub page for the survey paper "A Survey of Large Language Models".
An open-source tool-augmented conversational language model from Fudan University
Retrieval and Retrieval-augmented LLMs
Style transfer, deep learning, feature transform