MichaelChen's repositories
PaddlePaddle-
PaddlePaddle深度学习入门课
LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
CPlusPlusThings
C++那些事
design_patterns
图说设计模式
cs231n.github.io
Public facing notes page
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
Deep-Learning-with-TensorFlow-book
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
nsfw_data_scraper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
Python-1
All Algorithms implemented in Python
LeetCode
LeetCode In Action - Python (705+)
AnnotatedNetworkModelGit
加注释的网络模型(便于理解)
vision
Datasets, Transforms and Models specific to Computer Vision
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Pytorch-Handwritten-Mathematical-Expression-Recognition
This program uses Attention and Coverage to realize HMER and this program is based on Pytorch.
labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
ML-Foundation-and-ML-Techniques
台大机器学习课程作业详解
python3-cookbook
《Python Cookbook》 3rd Edition Translation
mobilenetv3
mobilenetv3 with pytorch,provide pre-train model
Awesome-PyTorch-Chinese
【干货】史上最全的PyTorch学习资源汇总
AI-Algorithm-Engineer
from the junior to the expert
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
SENet
Squeeze-and-Excitation Networks
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
fastai
The fastai deep learning library, plus lessons and and tutorials
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
d2l-zh
《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。
practicalAI
📚A practical approach to learning machine learning.