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Type: User
gametheorypython's Projects
albumentations
fast image augmentation library and easy to use wrapper around other libraries
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
avida
awesome-deep-learning-papers
The most cited deep learning papers
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-spider
爬虫集合
bs-eagle
The BS Eagle Project: Open Source Black-Oil Simulator
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
design-resource
A list of design resources.
dl4img
书籍《深度学习技术图像处理入门》代码环境 Docker 文件
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
easywordpressbook
人人都能学会的 WordPress 实战课
facies_classification
hands_on_ml_with_sklearn_and_tf
OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
hello-world
Just for getting started
howmanypeoplearearound
Count the number of people around you :family_man_man_boy: by monitoring wifi signals :satellite:
interpretable-ml-book
Book about interpretable machine learning
lihang-code
《统计学习方法》的代码实现
machinelearningnotes
My personal notes
matplotlib
matplotlib: plotting with Python
moviepy
Video editing with Python
moviepy-cn
moviepy 中文手册
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
openpnm
A Python package for performing pore network modeling of porous media
papers-we-love
Papers from the computer science community to read and discuss.
porespy
A set of tools for characterizing and analying 3D images of porous materials
projectq
ProjectQ: An open source software framework for quantum computing
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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