Lists (9)
Stars
Awesome Unsupervised Segmentation
SGLang is a fast serving framework for large language models and vision language models.
Scrapy, a fast high-level web crawling & scraping framework for Python.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
📋 A list of open LLMs available for commercial use.
A programming framework for agentic AI 🤖
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The interactive graphing library for Python ✨ This project now includes Plotly Express!
🐍 The official Python client library for Google's discovery based APIs.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Real-life RESTful server example on Flask-RESTplus
Open-source simulator for autonomous driving research.
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
A standard framework for modelling Deep Learning Models for tabular data
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
COCO API - Dataset @ https://cocodataset.org/
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.