Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Curated list of project-based tutorials

All Algorithms implemented in Python

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Robust Speech Recognition via Large-Scale Weak Supervision

LLM inference in C/C++

Animation engine for explanatory math videos

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Examples and guides for using the OpenAI API

A high-throughput and memory-efficient inference and serving engine for LLMs

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

The world's simplest facial recognition api for Python and the command line

Deepfakes Software For All

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.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

The definitive Web UI for local AI, with powerful features and easy setup.

Making large AI models cheaper, faster and more accessible

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

TensorFlow code and pre-trained models for BERT

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

💫 Industrial-strength Natural Language Processing (NLP) in Python

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

The ultimate Vim configuration (vimrc)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image