Pytorch
Showing 36 of 293 projects
A PyTorch library providing GPU-accelerated tools for 3D deep learning, including differentiable rendering and geometric operations.
A modular container build system providing the latest AI/ML packages for NVIDIA Jetson and JetPack-L4T.
A high-level library for training and evaluating neural networks in PyTorch with a flexible engine and event system.
A PyTorch-based research platform implementing state-of-the-art single object tracking algorithms like SiamRPN and SiamMask.
A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.
A domain-specific generative language model pre-trained on biomedical literature for text generation and mining tasks.
Official PyTorch implementation of HRNet for human pose estimation, maintaining high-resolution representations through parallel multi-scale fusions.
A PyTorch system for open-domain question answering by retrieving and reading documents, originally applied to Wikipedia.
A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.
A Python library offering scalable and user-friendly implementations of state-of-the-art neural forecasting models.
A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.
A highly efficient, scalable Gaussian process library implemented in PyTorch with GPU acceleration and modular design.
A Python library for self-supervised learning on images, providing a modular PyTorch-like framework with support for modern SSL models.
An open-source platform for building, training, and monitoring large-scale deep learning applications with full lifecycle MLOps.
An end-to-end platform for applied reinforcement learning and contextual bandits, originally developed at Facebook for production recommendation systems.
An end-to-end platform for applied reinforcement learning and contextual bandits, built with PyTorch for production decision-making systems.
A comprehensive Python-first reinforcement learning framework with modular abstractions for decision intelligence applications.
A modular library for Bayesian optimization built on PyTorch, enabling efficient optimization of expensive black-box functions.
Models, data loaders and abstractions for language processing, powered by PyTorch
A web-based IDE for machine learning and data science with pre-installed libraries and tools, deployable via Docker.
A Python library for probabilistic modeling built on PyTorch, offering modular distributions, GPU support, and flexible model composition.
A PyTorch-based framework for visual object tracking and video object segmentation, featuring implementations of state-of-the-art trackers like TaMOs, RTS, and DiMP.
A curated list of Python software for data science, covering machine learning, deep learning, visualization, and data manipulation.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
Automatic and interactive image colorization using deep neural networks, with PyTorch models for ECCV 2016 and SIGGRAPH 2017 papers.
A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.
A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.
An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
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