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Learn how to design, develop, deploy and iterate on production-grade ML applications.
🔊 Text-Prompted Generative Audio Model
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Data and code behind the articles and graphics at FiveThirtyEight
📡 Simple and ready-to-use tutorials for TensorFlow
StableLM: Stability AI Language Models
A multi-voice TTS system trained with an emphasis on quality
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
PyTorch code and models for the DINOv2 self-supervised learning method.
LAVIS - A One-stop Library for Language-Vision Intelligence
Official inference library for Mistral models
Reference PyTorch implementation and models for DINOv3
A collection of pre-trained, state-of-the-art models in the ONNX format
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Flax is a neural network library for JAX that is designed for flexibility.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
A Bulletproof Way to Generate Structured JSON from Language Models
Language-Agnostic SEntence Representations
Fast and flexible AutoML with learning guarantees.
Easily compute clip embeddings and build a clip retrieval system with them
Vision utilities for web interaction agents 👀
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Unified Training of Universal Time Series Forecasting Transformers
Official implementation of the paper "Watermark Anything with Localized Messages"
Codebase for Aria - an Open Multimodal Native MoE
Bridging LLM and Recommender System.