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93 public repositories
matching this topic...
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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May 8, 2020
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Python
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
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Jul 3, 2020
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Python
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
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Nov 26, 2019
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Python
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
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Aug 3, 2020
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Python
A developer friendly approach for sensors in React Native
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Sep 10, 2020
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Objective-C
Reduce CPU usage by non-blocking async loop and psychologically speed up in JavaScript
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Sep 7, 2020
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JavaScript
Display-agnostic acceleration of macOS applications using external GPUs.
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Sep 13, 2020
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Shell
Caffe for Sparse and Low-rank Deep Neural Networks
The free optimization & CDN for images, CSS, JavaScript, and open source
A BVH implementation to speed up raycasting against three.js meshes.
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Aug 18, 2020
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JavaScript
Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
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Sep 13, 2020
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Python
volksdep is an open-source toolbox for deploying and accelerating PyTorch, Onnx and Tensorflow models with TensorRT.
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Sep 4, 2020
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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
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Jun 28, 2018
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Verilog
Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
Repository to track the progress in model compression and acceleration
yolov3 model compress and acceleration (quantization, sparse), c++ version
A particle effect with dead simple physics.
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May 17, 2019
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Swift
pytorch realtime multi person keypoint estimation
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Jan 1, 2019
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Jupyter Notebook
Caffe Computation Graph Optimization.
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Jan 7, 2020
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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
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
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Mar 23, 2020
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Python
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
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Jun 24, 2020
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Java
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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.