Showing 861-880 of 2,055 projects
A high-quality open-source font library for building modern web interfaces and designs.
A high-performance library for efficient neural network pruning and compression across LLMs, vision models, and more.
A blazingly fast backend framework in Zig, focused on building high-performance HTTP/REST APIs.
Efficient vision foundation models for high-resolution generation and perception.
An open-source Android keyboard app that supports multiple languages and is highly customizable.
Official PyTorch implementation of an efficient 3D mesh reconstruction and high-quality rendering technique.
A fast, native, and open-source D programming language compiler for building high-performance applications.
A highly customizable React component for scrollbars, providing a smooth and responsive scrolling experience.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
High-performance GIF support for iOS, allowing developers to easily incorporate animated GIFs in their apps.
DPVS is a high-performance Layer-4 load balancer based on DPDK for developers building network-intensive applications.
A high-concurrency product flash sale system built with Spring Boot, MySQL, Redis, RabbitMQ, and Guava.
A high-performance image segmentation library that uses bilateral reference for dichotomous image segmentation.
An open-source codebase for generating high-fidelity podcasts from text using AI models.
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
A high-performance Transformer library for accelerating AI models on NVIDIA GPUs, including low-precision support.
A high-performance Ruby runtime built on GraalVM, suitable for general-purpose development.
A fast and lightweight Virtual DOM alternative for building high-performance web applications.
A lightweight, high-performance Go-based game server framework for building distributed systems and networking applications.
CUDA Python: A library that brings the power of CUDA to Python, enabling high-performance GPU acceleration.
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