The mouse and trackpad utility for Mac.

A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

A developer friendly approach for sensors in React Native

[CVPR 2026] Offical code for "FastGS: Training 3D Gaussian Splatting in 100 Seconds"

Helios: Real Real-Time Long Video Generation Model

[TMLR 2025🔥] A survey for the autoregressive models in vision.

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

Reduce CPU usage by non-blocking async loop and psychologically speed up in JavaScript

Display-agnostic acceleration of macOS applications using external GPUs.

The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.

A high speed stepper library for Atmega 168/328p (nano), Atmega32u4, Atmega 2560, ESP32, ESP32S2, ESP32S3, ESP32C3, ESP32C6, Atmel SAM Due, Raspberry pi pico and pico 2

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

Caffe for Sparse and Low-rank Deep Neural Networks

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

[COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

A .NET library for hardware-accelerated, high performance, immediate mode rendering via Direct2D.

Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

A reading list for deep graph learning acceleration.

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

Benchmarking suite to evaluate 🤖 robotics computing performance. Vendor-neutral. ⚪Grey-box and ⚫Black-box approaches.

A robot-specific processing unit. Contains CPUs, FPGAs and GPUs and maps ROS efficiently to them for best performance.

Automatic build cache

A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

A free, header-only C++ swarming (flocking) library for real-time applications