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The Wayback Machine - https://web.archive.org/web/20200825004838/https://github.com/topics/acceleration
Here are
92 public repositories
matching this topic...
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Updated
May 8, 2020
Python
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Updated
Jul 3, 2020
Python
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Updated
Nov 26, 2019
Python
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Updated
Aug 3, 2020
Python
A developer friendly approach for sensors in React Native
Updated
Aug 22, 2020
Objective-C
Reduce CPU usage by non-blocking async loop and psychologically speed up in JavaScript
Updated
Jul 30, 2020
JavaScript
Display-agnostic acceleration of macOS applications using external GPUs.
Updated
Jan 13, 2020
Shell
Caffe for Sparse and Low-rank Deep Neural Networks
The free optimization & CDN for images, CSS, JavaScript, and more
A BVH implementation to speed up raycasting against three.js meshes.
Updated
Aug 18, 2020
JavaScript
Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
Updated
Jul 27, 2020
Python
volksdep is an open-source toolbox for deploying and accelerating PyTorch, Onnx and Tensorflow models with TensorRT.
Updated
Jul 16, 2020
Python
A free, header-only C++ swarming (flocking) library for real-time applications
A .NET library provides the hardware-accelerated high performance immediate mode rendering functionality via Direct2D API.
An FPGA I/O Device which services physical memory reads/writes via UMDF2 driver
Updated
Jun 28, 2018
Verilog
Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
yolov3 model compress and acceleration (quantization, sparse), c++ version
Repository to track the progress in model compression and acceleration
A particle effect with dead simple physics.
Updated
May 17, 2019
Swift
pytorch realtime multi person keypoint estimation
Updated
Jan 1, 2019
Jupyter Notebook
Caffe Computation Graph Optimization.
Updated
Jan 7, 2020
Python
Code to speed up k-means clustering. Originally at BaylorCS/baylorml.
A new build tool optimized for local + remote development
This repo contains Go implementation and corresponding APIs for acceleration of Binarized Neural Network (BNN) on FPGAs.
All about acceleration and compression of Deep Neural Networks
Go library that makes it easy to work with physical types, e.g. distances, velocities and angles.
Code Examples explained in QCon-London 2020 about TornadoVM
Updated
Jun 24, 2020
Java
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
Updated
Mar 23, 2020
Python
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Many builds with natives have support for maven classifiers (used to provide separate jars depending on OS). This reduces download size etc.
Please add this to aparapi-jni.