iezsf

free-python-books

Python books free to read online or download

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

MLP_NeuroSim_V3.0

Benchmark framework of synaptic device technologies for a simple neural network

MLP_NeuroSim_V1.0

Benchmark framework of synaptic device technologies for a simple neural network

deeplearningbook-chinese

Deep Learning Book Chinese Translation

python-small-examples

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

PyTorch-Course

JULYEDU PyTorch Course

architect-awesome

后端架构师技术图谱

architect-awesome

后端架构师技术图谱

MNSIM_Python

MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1

tiny-dnn

header only, dependency-free deep learning framework in C++14

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

ShadowSocksShare

(No longer maintained owing to the lack of sufficient free ss accounts)Python爬虫/Flask网站/免费ShadowSocks账号/ssr订阅/json 订阅

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

cacti

An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

ramulator

A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

ramulator-pim

A fast and flexible simulation infrastructure for exploring general-purpose processing-in-memory (PIM) architectures. Ramulator-PIM combines a widely-used simulator for out-of-order and in-order processors (ZSim) with Ramulator, a DRAM simulator with memory models for DDRx, LPDDRx, GDDRx, WIOx, HBMx, and HMCx. Ramulator is described in the IEEE CAL 2015 paper by Kim et al. at https://people.inf.ethz.ch/omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf Ramulator-PIM is used in the DAC 2019 paper by Singh et al. at https://people.inf.ethz.ch/omutlu/pub/NAPEL-near-memory-computing-performance-prediction-via-ML_dac19.pdf

Python_Pin

zju-icicles

浙江大学课程攻略共享计划

onedrive

Free Client for OneDrive on Linux

shap

A game theoretic approach to explain the output of any machine learning model.

qBittorrent-Enhanced-Edition

[Unofficial] qBittorrent Enhanced, based on qBittorrent

Python-100-Days

Python - 100天从新手到大师

mxnet-benchmark

ResNet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

notes

:notebook_with_decorative_cover: Linux、MySQL、Nginx、PHP、Git、Shell 等笔记

pumpkin-book

《机器学习》（西瓜书）公式详解

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Virgilio

Your new Mentor for Data Science E-Learning.

spring-boot

Spring Boot