vvvvain

vvvvain's Stars

• cuizhenjie/software-engineering-document

  软件工程常用文档模板及示例：可行性分析报告、开发计划、需求分析文档、概要设计文档、详细设计文档、用户操作手册、测试计划、测试分析报告、开发进度报告、项目开发总结报告、软件维护手册等

  2k249604

• Xilinx/Vitis-Tutorials

  Vitis In-Depth Tutorials

  Language:C1.3k54240554

• Xilinx/brevitas

  Brevitas: neural network quantization in PyTorch

  Language:Python1.2k34450197

• wangy8961/flask-vuejs-madblog

  基于 Flask 和 Vue.js 前后端分离的微型博客项目，支持多用户、Markdown文章（喜欢/收藏文章）、粉丝关注、用户评论（点赞）、动态通知、站内私信、黑名单、邮件支持、管理后台、权限管理、RQ任务队列、Elasticsearch全文搜索、Linux VPS部署、Docker容器部署等

  Language:Vue863288197

• Xilinx/finn

  Dataflow compiler for QNN inference on FPGAs

  Language:Python75331277242

• Digilent/vivado-boards

  Language:Tcl4024532214

• Xilinx/finn-examples

  Dataflow QNN inference accelerator examples on FPGAs

  Language:Python18593259

• maestro-project/maestro

  An analytical cost model evaluating DNN mappings (dataflows and tiling).

  Language:MATLAB18372159

• luanyunteng/pytorch-be-your-own-teacher

  A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094

  Language:Python1624827

• nxbyte/Verilog-Projects

  This repository contains source code for past labs and projects involving FPGA and Verilog based designs

  Language:Verilog1055122

• hsharma35/bitfusion

  Simulator for BitFusion

  Language:Python921321

• phoenixdyf/Opensource_Dataset_Compilation_for_PHM

  分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。

  672010

• mrusci/training-mixed-precision-quantized-networks

  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.

  Language:Python492216

• MartaAndronic/PolyLUT

  PolyLUT is the first quantized neural network training methodology that maps a neuron to a LUT while using multivariate polynomial function learning to exploit the flexibility of the FPGA soft logic.

  Language:Python44105

• AlexMontgomerie/fpgaconvnet-tutorial

  A collection of tutorials for the fpgaConvNet framework.

  Language:Jupyter Notebook322410

• AlexMontgomerie/samo

  SAMO: Streaming Architecture Mapping Optimisation

  Language:Python32405

• iamkanghyunchoi/ait

  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]

  Language:Python30355

• lliai/EMQ-series

  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization

  Language:Python27351

• xuke225/EQ-Net

  EQ-Net [ICCV 2023]

  Language:Python26243

• AlexMontgomerie/fpgaconvnet-hls

  Language:Python242210

• fffasttime/AnyPackingNet

  Language:Python24401

• 1157942086/CVPR2020_Auxiliary_Quantization

  Training Quantized Neural Networks with a Full-precision Auxiliary Module

  Language:Python11106

• abdelfattah-lab/M4BRAM

  Language:Python810

• CMU-SAFARI/GateSeeder

  GateSeeder is the first near-memory CPU-FPGA co-design for alleviating both the compute-bound and memory-bound bottlenecks in short and long-read mapping. GateSeeder outperforms Minimap2 by up to 40.3×, 4.8×, and 2.3× when mapping real ONT, HiFi, and Illumina reads, respectively.

  Language:C8600

• mean9park/BitFusion-verilog

  bitfusion verilog implementation

  Language:Verilog5101

• gsujankumar/IMPQ

  IMPQ: Reduced complexity neural networks via granular precision assignment.

  Language:Python2100

• Intelligent-Microsystems-Lab/HeterogeneousQuantization

  Language:Python2201

• lawsonX/CSQ

  Language:Python2202

• WeiWangCAS/channel_wise_bit_allocation

  Language:Python210

• SupreethMysore/SupreethMysore

  Config files for my GitHub profile.

  110