[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
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Updated
Oct 3, 2023 - Python
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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A developer friendly approach for sensors in React Native
Caffe for Sparse and Low-rank Deep Neural Networks
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
The CDN for developers.
A high speed stepper library for Atmega 168/328p (nano), Atmega32u4, Atmega 2560, ESP32, ESP32S2, ESP32S3, ESP32C3 and Atmel SAM Due
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
The mouse and trackpad utility for Mac.
Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
Display-agnostic acceleration of macOS applications using external GPUs.
A .NET library for hardware-accelerated, high performance, immediate mode rendering via Direct2D.
volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
Riverbed Community Toolkit is a public toolkit for Riverbed Solutions engineering and integration
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.
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