Showing 121-140 of 1,001 projects
End-to-end speech processing toolkit for tasks like speech recognition, synthesis, translation, and more.
LaMa is a PyTorch-based library for high-resolution image inpainting using Fourier convolutions.
A PyTorch-based reference implementation and models for the DINOv3 self-supervised vision transformer.
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
A PyTorch implementation of the Transformer model, a popular deep learning architecture for natural language processing.
A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration.
An open-source ChatGPT-like chatbot powered by the RWKV language model, a 100% RNN-based system.
An open-source project that uses deep learning and OCR to translate text in manga/images
A flexible and powerful tensor operations library for readable and reliable deep learning code in Python.
A fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A fork of the so-vits-svc project with realtime support, improved interface, and more features for AI-powered voice conversion.
A neural network library for speaker diarization, including speech activity detection, speaker change detection, and speaker embedding.
A set of containers for running machine learning models and applications on various ML frameworks.
A robust and highly performant video matting library for PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
Unified, production-ready inference API to run open-source, speech, and multimodal models on cloud, on-prem, or your laptop.
A collection of PyTorch tutorials for developers to learn and practice AI/ML with Python.
Versatile database for AI, supporting storage, querying, versioning, and visualization of any AI data.
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