Stars
Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
🎵 Lightweight, elegant music player for Android 9+.
An open source implementation of CLIP.
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
An extremely fast Python package and project manager, written in Rust.
Reproduction of "Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations"
[CVPR 2025] "A Distractor-Aware Memory for Visual Object Tracking with SAM2"
🤗 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.
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
Official implementation of "Relational Data Generation with Graph Neural Networks and Latent Diffusion Models"
A package for benchmarking synthetic relational data generation methods
[ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
A browser based Pokémon fangame heavily inspired by the roguelite genre.
A fun, hackable, GPU-accelerated, neural network library in Rust, written by an idiot
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Modern normalizing flows in Python. Simple to use and easily extensible.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
You like pytorch? You like micrograd? You love tinygrad! ❤️
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The fundamental package for scientific computing with Python.