There are 1 repository under acceleration topic.
[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
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
LinearMouse is a free and open-source utility for macOS which aims to improve the experience and functionality of third-party mice.
A developer friendly approach for sensors in React Native
Reduce CPU usage by non-blocking async loop and psychologically speed up in JavaScript
The CDN for developers.
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.
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
A .NET library for hardware-accelerated, high performance, immediate mode rendering via Direct2D.
[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
A free, header-only C++ swarming (flocking) library for real-time applications
A high speed stepper library for Atmega 328p (nano), Atmega32u4, Atmega 2560, ESP32, ESP32S2 and Atmel SAM Due
Repository to track the progress in model compression and acceleration
Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
VDI Stream Client is a very tiny, low latency and GPU accelerated client to connect to Windows running Parsec Host.
A reading list for deep graph learning acceleration.
An FPGA I/O Device which services physical memory reads/writes via UMDF2 driver
Intel Homomorphic Encryption Acceleration Library for FPGAs, including open source implementation of FPGA kernels for accelerating NTT, INTT, Keyswitch and Dyadic Multiplication modular arithmetic operations, FPGA runtime, and host APIs for connecting to third-party homomorphic encryption libraries.
动手学习TVM核心原理教程
Code to speed up k-means clustering. Originally at BaylorCS/baylorml.
yolov3 model compress and acceleration (quantization, sparse), c++ version
A particle effect with dead simple physics.
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
Caffe Computation Graph Optimization.
Code Examples explained in QCon-London 2020 about TornadoVM