vzyknc Goto Github PK

accdnn

A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

ai-system

System for AI Education Resource.

aichip_paper_list

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arm_cortex-m3

本项目为参加2019全国大学生集成电路比赛 ARM杯创建。本项目是基于FPGA的一套包含Cortex-M3内核的车牌识别系统。

autodnnchip

autofpga

A utility for Composing FPGA designs from Peripherals

awesome-hardware-tools

List of awesome open source hardware tools

awesome-quantization-and-fixed-point-training

Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design

awesome-system-for-machine-learning

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

bitfusion

Simulator for BitFusion

blog

My Blog & Thanks Github!

caffe_code_analysis

Caffe_Code_Analysis

cnn.acc.bfp

cod19grp4

奋战一学期 造台联网计算机（MIPS32 CPU + 硬件 RIP 路由器）

convnet.pytorch

ConvNet training using pytorch

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cse240d-hierarchical_mesh_noc-eyeriss_v2

A SystemVerilog implementation of Row-Stationary dataflow and Hierarchical Mesh Network-on-Chip Architecture based on Eyeriss CNN Accelerator

cuda-matirx-multiplication

cuda_samples

cva6

The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

data_structures

deep-learning-multipliers

Training deep neural networks with low precision multiplications

deepshift

Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298

deepstream_reference_apps

Samples for TensorRT/Deepstream for Tesla & Jetson

dingding-automatic-clock-in

钉钉全自动打卡脚本，基于auto.js，免root，适用于蓝牙考勤机

dl-on-silicon

research, experimentation and implementation of hardware-agnostic accelerated DL framework