Giters
Jingyong Cai (CJYLab)

CJYLab

Geek Repo

2

followers

49

following

231

stars

Company:Tokyo University of Agriculture and Technology (TUAT)

Location:Koganei, Tokyo

Github PK Tool:Github PK Tool

Organizations
BeatCraft

Jingyong Cai's repositories

APoT_Quantization

PyTorch implementation for the APoT quantization (ICLR 2020)

Language:PythonStargazers:0Issues:1Issues:0

chisel-tutorial

chisel tutorial exercises and answers

Language:ScalaLicense:NOASSERTIONStargazers:0Issues:1Issues:0

cTensor

A super light-weight deep learning library based on NumPy in PyTorch fashion.

Language:PythonStargazers:0Issues:1Issues:0

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Language:TeXLicense:GPL-3.0Stargazers:0Issues:1Issues:0

DeepShift

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

Language:PythonStargazers:0Issues:1Issues:0

dkr-intel

Docker image with Intel Parallel Studio XE Composer Edition for C++

Language:DockerfileLicense:Apache-2.0Stargazers:0Issues:1Issues:0

dni-pytorch

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

docker_practice

Learn and understand Docker technologies, with real DevOps practice!

Language:GoStargazers:0Issues:1Issues:0

eyeriss-chisel3

eyeriss-chisel3

Language:ScalaStargazers:0Issues:1Issues:0

fastai

The fastai deep learning library, plus lessons and and tutorials

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

High-Level-Synthesis-Flow-on-Zynq-using-Vivado-HLS

This course provides professors with an understanding of high-level synthesis design methodologies necessary to develop digital systems using Vivado HLS. Now under 2018.2 version.

Language:HTMLStargazers:0Issues:1Issues:0

local-loss

PyTorch code for training neural networks without global back-propagation

Language:PythonStargazers:0Issues:1Issues:0

luago-book

《自己动手实现Lua》源代码

Language:GoLicense:MITStargazers:0Issues:1Issues:0

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Language:C++License:Apache-2.0Stargazers:0Issues:0Issues:0

moderncv

A modern curriculum vitae class for LaTeX

Language:TeXStargazers:0Issues:1Issues:0

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

plaidml

PlaidML is a framework for making deep learning work everywhere.

Language:C++License:Apache-2.0Stargazers:0Issues:1Issues:0

pp4fpgas-cn

中文版 Parallel Programming for FPGAs

Language:CSSStargazers:0Issues:1Issues:0

py-videocore

Python library for GPGPU on Raspberry Pi

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Pynq-CV-OV5640

Pynq computer vision examples with an OV5640 camera

Language:VHDLLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

pyopencl

OpenCL integration for Python, plus shiny features

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

pyopencl-in-action

A work in progress to implement the code from OpenCL in Action by Matthew Scarpino in pyopencl

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

python3-cookbook

《Python Cookbook》 3rd Edition Translation

Language:PythonStargazers:0Issues:1Issues:0

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

rnn_lstm_from_scratch

How to build a RNN and LSTM from scratch with NumPy.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:1Issues:0

ShiftAddNet

[NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

SimpleNet-Keras

SimpleNet paper implementation in keras

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

spooNN

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Language:Jupyter NotebookLicense:AGPL-3.0Stargazers:0Issues:1Issues:0

T

testing

License:MITStargazers:0Issues:1Issues:0

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

Language:PythonLicense:MITStargazers:0Issues:1Issues:0