A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
- tensorflow
- tensorflow2
- deeplearning
- machinelearning
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
《Python Cookbook》 3rd Edition Translation
- python
- python3
- python3-cookbook
- readthedocs
PRML algorithms implemented in Python
TranslatedGitHub 漫游指南 (Manyou Zhinan, "Roaming Guide")- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.
- book
- learn-typescript
- typescript
- typescript-book
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Mostly experiments based on "Advances in financial machine learning" book
Sources codes for: Mastering Python for Finance, Second Edition
- machine-learning
- python
- ai
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
- riemann-solver
- python
- jupyter-notebook
- book
The code repository for the prototypes included in the eBook "Inspired EHRs - Designing for Clinicians" (inspiredEHRs.gov). The code of the prototypes is made available under the Apache 2.0 open source license. This license agreement allows anyone to freely use the code and ideas presented in this book, subject to the conditions listed at http://opensource.org/licenses/Apache-2.0.
- healthcare
- ehr
- open-source
- electronic-health-record
open source E-book on statistical physics
- statistical-physics
- statistical-mechanics
Mobile Deep Learning Projects, published by Packt