Showing 1821-1840 of 1,965 projects
A PyTorch implementation of a generative adversarial network for learning cross-domain relations.
Accelerated CPU-based image alignment and pattern matching library for real-time computer vision applications.
PyTorch re-implementation of DeepLab v2 for semantic segmentation on COCO-Stuff and PASCAL VOC datasets.
Peg is a Parsing Expression Grammar (PEG) implementation in Go for building robust and efficient parsers.
A .NET library for Modbus TCP, Modbus UDP, and Modbus RTU communication with PLC devices.
A Java implementation of the FIX protocol for building financial trading systems.
This is a deprecated website for The Algorithms, a collection of algorithms implemented in various programming languages.
A Flutter project that implements common UI effects, custom components, and utility classes.
Material design implementation for the AvaloniaUI framework, providing a comprehensive UI component library.
An implementation of Fully Convolutional Networks (FCNs) in TensorFlow for image segmentation tasks.
A high-performance and lightweight PyTorch-based license plate recognition framework.
An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.
A PyTorch implementation of the paper 'All are Worth Words: A ViT Backbone for Diffusion Models'.
An Elixir implementation of the LangChain framework for integrating Elixir projects with large language models.
A fully featured Mantine V7 implementation of TanStack React Table V8, forked from Material React Table.
A Python library for efficient online 3D bin packing using deep reinforcement learning and packing configuration trees.
impl is a Go library that generates method stubs for implementing an interface, saving developers time.
Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.
A UITabBarController-based library that implements the sliding tab bar functionality of the Android version of WeChat.
A Theano-based implementation of Deep Q-learning, a reinforcement learning algorithm.
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