Showing 181-200 of 616 projects
LightGlue is a high-performance local feature matching library for computer vision tasks like pose estimation.
Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.
Fast C++ inference engine for Transformer models, supporting CUDA, MKL, and other optimizations.
CSS Loader for webpack, a module that loads CSS files, interprets @import and url(), and returns the CSS with necessary transformations.
The official DeiT repository for a PyTorch-based vision transformer model for image classification.
A powerful multi-resolution diffusion transformer for fine-grained Chinese text understanding and generation.
CLUE is a comprehensive Chinese language understanding evaluation benchmark with datasets, baselines, pre-trained models, and a leaderboard.
A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.
Comprehensive cheatsheet for learning and using transformers and large language models from Stanford's CME 295 course.
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
Efficient and self-hosted collaborative code editor built with Rust, React, and TypeScript.
RAFT is a PyTorch library for training and evaluating visual transformers, a popular AI model for computer vision tasks.
TorchGeo is a Python library for working with geospatial data using PyTorch, providing datasets, samplers, transforms, and pre-trained models.
Deformable DETR is a state-of-the-art object detection model that uses deformable transformers for end-to-end detection.
A source transformer enabling ES6 generator functions in modern JavaScript.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
A tutorial and code repository for using the Hugging Face Transformers library for NLP tasks.
A powerful JavaScript library for zipping and unzipping files with advanced features like multi-core compression and encryption.
Run GPT model on the browser with WebGPU, a lightweight JavaScript implementation.
A Chinese NLP solution with large models, data, training, and inference capabilities for developers.
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