Pete's repositories
IntroCompSciPython
Collection of github resources
PathRedeux
Consolidate README's
AIStartupChallenge
Siraj Raval startup challenge
awesome-bci
Curated Collection of BCI resources
awesome-machine-learning-operations
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-python-chemistry
A curated list of Python packages related to chemistry
awesome-quantum-computing
A curated list of awesome quantum computing learning and developing resources.
Data-Science--Cheat-Sheet
Cheat Sheets
Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
python-opengl
An open access book on Python, OpenGL and Scientific Visualization, Nicolas P. Rougier, 2018
aicheatsheet
so cheat sheet
awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
learn-linux-sysadmin
Credit to OP /u/IConrad from reddit
Mathematics_for_Beginners
This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
pytorch-pretrained-BERT
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
The-Hundred-Page-Machine-Learning-Book
This repository contains the draft PDF copies of the book: The 100 Page Machine Learning Book