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Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Missing data visualization module for Python.
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
《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
Train a convolutional neural network and analyze the gradients in the model to identify relationships in high dimensional spaces.
poseidon system - open source syringe pumps and microscope for laboratories
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
💬 Machine Learning Course with Python:
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials …
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A Code-First Introduction to NLP course
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
Your new Mentor for Data Science E-Learning.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
this repository accompanies the book "Grokking Deep Learning"
Online resources for Python Crash Course (Second Edition), from No Starch Press
Resources for Python Crash Course, from No Starch Press.
scikit-learn: machine learning in Python
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Manual, source-code and binaries for the NanoJ-Fluidics project
Library to scrape and clean web pages to create massive datasets.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.