Topic: acceleration Goto Github
Some thing interesting about acceleration
Some thing interesting about acceleration
acceleration,yolov3 model compress and acceleration (quantization, sparse), c++ version
User: artyze
acceleration,A reading list for deep graph learning acceleration.
User: buaa-ci-lab
acceleration,A storage plugin that provided CRI-O/Podman with the ability to lazy mount nydus images.
Organization: containers
acceleration,A free, header-only C++ swarming (flocking) library for real-time applications
User: cultrarius
acceleration,Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
User: daniil-osokin
acceleration,An FPGA I/O Device which services physical memory reads/writes via UMDF2 driver
User: defparam
acceleration,Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
User: ethanhe42
Home Page: https://yihui-he.github.io/blog/channel-pruning-for-accelerating-very-deep-neural-networks
acceleration,Code to speed up k-means clustering. Originally at BaylorCS/baylorml.
User: ghamerly
Home Page: http://cs.baylor.edu/~hamerly/software/kmeans.php
acceleration,A high speed stepper library for Atmega 168/328p (nano), Atmega32u4, Atmega 2560, ESP32, ESP32S2, ESP32S3, ESP32C3 and Atmel SAM Due
User: gin66
acceleration,An autonomous parallel processing engine for the browser.
User: gitsquared
Home Page: https://rinzler.js.org
acceleration,A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
User: gkjohnson
Home Page: https://gkjohnson.github.io/three-mesh-bvh/example/bundle/raycast.html
acceleration,constant jerk trajectory generator
User: grotius-cnc
acceleration,Caffe Computation Graph Optimization.
User: holmesshuan
acceleration,TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Organization: infini-ai-lab
Home Page: https://infini-ai-lab.github.io/TriForce/
acceleration,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.
Organization: intel
Home Page: https://intel.github.io/hexl-fpga
acceleration,Repository to track the progress in model compression and acceleration
User: juliagusak
acceleration,The mouse and trackpad utility for Mac.
Organization: linearmouse
Home Page: https://linearmouse.app
acceleration,Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
User: lmbxmu
Home Page: https://128.84.21.199/abs/2002.10179
acceleration,[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
User: lmxyy
Home Page: https://www.cs.cmu.edu/~sige/
acceleration,Display-agnostic acceleration of macOS applications using external GPUs.
User: mayankk2308
acceleration,volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
User: media-smart
acceleration,An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Organization: microsoft
Home Page: https://aka.ms/hyperspace
acceleration,[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Organization: mit-han-lab
Home Page: https://hanlab.mit.edu/projects/distrifusion
acceleration,[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
Organization: mit-han-lab
Home Page: https://arxiv.org/abs/2011.01302
acceleration,[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Organization: mit-han-lab
Home Page: https://ofa.mit.edu/
acceleration,[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Organization: mit-han-lab
Home Page: https://hanlab.mit.edu/projects/proxylessNAS/
acceleration,[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Organization: mit-han-lab
Home Page: https://arxiv.org/abs/1811.08383
acceleration,TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Organization: mit-han-lab
Home Page: https://torchsparse.mit.edu
acceleration,Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀
Organization: nebuly-ai
Home Page: https://nebuly.com/
acceleration,A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Organization: obss
Home Page: https://biobss.readthedocs.io/en/latest/
acceleration,Reduce CPU usage by non-blocking async loop and psychologically speed up in JavaScript
User: polygonplanet
acceleration,A developer friendly approach for sensors in React Native
Organization: react-native-sensors
Home Page: https://react-native-sensors.github.io/
acceleration,Benchmarking suite to evaluate 🤖 robotics computing performance. Vendor-neutral. ⚪Grey-box and ⚫Black-box approaches.
Organization: robotperf
Home Page: https://robotperf.net
acceleration,Arduino library for GY521 accelerometer- gyroscope a.k.a. MCU-6050
User: robtillaart
acceleration,A robot-specific processing unit. Contains CPUs, FPGAs and GPUs and maps ROS efficiently to them for best performance.
Organization: ros-acceleration
acceleration,Go library that makes it easy to work with physical types, e.g. distances, velocities and angles.
User: smyrman
acceleration,The CDN for developers.
Organization: staticallyio
Home Page: https://statically.io
acceleration,A particle effect with dead simple physics.
Organization: styleshare
acceleration,The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Organization: syncleus
Home Page: http://aparapi.com
acceleration,Caffe for Sparse and Low-rank Deep Neural Networks
User: wenwei202
acceleration,动手学习TVM核心原理教程
User: whitelok
acceleration,The Kria Robotics Stack (KRS) is a ROS 2 superset for industry, an integrated set of robot libraries and utilities to accelerate the development, maintenance and commercialization of industrial-grade robotic solutions while using adaptive computing.
Organization: xilinx
Home Page: https://Xilinx.github.io/KRS/
acceleration,All about acceleration and compression of Deep Neural Networks
User: xindongol
acceleration,Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
User: xtknight
Home Page: http://www.andrewmatteson.name/
acceleration,A new build tool optimized for local + remote development
Organization: yourbase
Home Page: https://yourbase.io
acceleration,pytorch realtime multi person keypoint estimation
User: zexinchen
acceleration,Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
User: zysxmu
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