Stars
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
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
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.
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…
đź’« Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
DSPy: The framework for programming—not prompting—language models