Stars
Examples and guides for using the OpenAI API
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.
Learn how to develop, deploy and iterate on production-grade ML applications.
🔊 Text-Prompted Generative Audio Model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
A simple screen parsing tool towards pure vision based GUI agent
Instruct-tune LLaMA on consumer hardware
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…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
High-Resolution Image Synthesis with Latent Diffusion Models
Foundational Models for State-of-the-Art Speech and Text Translation
Code release for NeRF (Neural Radiance Fields)
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Inpaint anything using Segment Anything and inpainting models.
Flax is a neural network library for JAX that is designed for flexibility.
A scikit-learn compatible neural network library that wraps PyTorch
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
CoTracker is a model for tracking any point (pixel) on a video.
[ICCV 2019] Monocular depth estimation from a single image
PyTorch implementation of AnimeGANv2
Segment Anything in High Quality [NeurIPS 2023]
Massively parallel rigidbody physics simulation on accelerator hardware.
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.