makcyun / Web_scraping_with_python

朱小五写文章涉及到的数据分析，爬虫，源数据

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

my blog

Approximating Wasserstein distances with PyTorch

A collection of resources for pandas (Python) and related subjects.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Simple Encoder, Generator and Face Modificator with StyleGAN2

Convert existing soccer event stream data to SPADL and value player actions

Code and Examples for Relevant Search

Beautiful charting of pandas.DataFrame with Highcharts

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

MAttNet: Modular Attention Network for Referring Expression Comprehension

source{d} datasets ("big code") for source code analysis and machine learning on source code

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

TensorFlow Tutorials

declarative and reproducible Jupyter environments - powered by Nix

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Surrogate Modeling Toolbox