Showing 81-100 of 289 projects
A highly efficient implementation of Gaussian Processes in PyTorch for GPU-accelerated machine learning.
Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
A collection of common Linux network acceleration tools integrated into one package.
A 3D Gaussian Splat Editor built on the PlayCanvas WebGL engine, focused on GPU-accelerated visualization.
NVIDIA device plugin for Kubernetes, enabling GPU acceleration in containerized workloads.
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
An open-source download assistant that accelerates downloads and fixes access issues for various gaming platforms.
A composable image editor built with Core Image and Metal for GPU-accelerated image processing.
A cross-platform Bilibili video downloader with multi-thread acceleration and resumable downloads.
A library for efficient weight quantization of large language models to accelerate inference on edge devices.
A Ruby library that allows developers to easily test time-dependent code by mocking Time, Date, and DateTime.
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
Accelerate string operations in C, C++, Python, Rust, and more with SIMD and GPU-powered algorithms.
A compiler for neural network hardware accelerators, focusing on performance and efficiency.
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Quantized attention that achieves 2-5x speedup over FlashAttention for language, image, and video models.
A high-performance Transformer library for accelerating AI models on NVIDIA GPUs, including low-precision support.
CUDA Python: A library that brings the power of CUDA to Python, enabling high-performance GPU acceleration.
A unified inference and post-training framework for accelerated video generation powered by AI.
A powerful object detection and instance segmentation library built on top of YOLOv7 and transformers, with TensorRT acceleration.
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