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3d-unet-pytorch-implementation

The implementation of 3D-UNet using PyTorch

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

dendritic-spine-analysis-dataset

A fully annotated dataset of Two-Photon Laser Scanning Microscopy (2PLSM) images of three types of dendritic spines. We make a standard dendritic analysis dataset publicly available including raw data, manual annotations, and manual labels.

examples-of-web-crawlers

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

fast-voxel-traversal-algorithm

A C++ implementation of the fast voxel traversal algorithm.

ilastik

ilastik-shell, applets, and workflows to string them together.

ilastik-meta

Small repo for tracking compatible versions of the ilastik subprojects via git submodules.

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

jetson-nano-gpio-example

C code example for using the GPIO Pins of NVIDIA Jetson Nano by memory mapping.

leetcode

machine_learning_cat_language

Studying and classifying cat sounds using python and some libraries

ml-for-beginners

12 weeks, 24 lessons, classic Machine Learning for all

nvidia-jetson-dht22-python

A python library to read temperature and humidity from DHT22 sensor

prmlt

Matlab code of machine learning algorithms in book PRML

sbfsem-tools

Matlab toolbox for connectomics analysis and rendering

screentogif

🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.

seglossodyssey

A collection of loss functions for medical image segmentation

spineanalysis_public

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

vaa3d_tools

www.vaa3d.org

volumina

Volume Slicing and Editing

yahei-consolas-hybrid-1.12

YaHei Consolas Hybrid 字体

yolov5_v5_nano