Stars
Lightweight coding agent that runs in your terminal
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Open source code for AlphaFold 2.
An implementation of the AWSEM coarse-grained protein folding forcefield in OpenMM
Web site for www.py4e.com and source to the Python 3.0 textbook
Package for Statistically significant linguistic change
bamboolib - a GUI for pandas DataFrames
ainaadekunle / ml-road
Forked from yanshengjia/ml-roadMachine Learning Resources, Practice and Research
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.
Data science and Big Data with Python
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
Public documents for the Master of Data Science program at the University of British Columbia
Voilà turns Jupyter notebooks into standalone web applications
Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Learning numerical computing with notebooks for all ages.
Jupyter metapackage for installation, docs and chat
Text and supporting code for Think Stats, 2nd Edition
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
A simple Python library to generate model peptides
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
Machine Learning Resources, Practice and Research
Automatically edits vidx. Explanation here: https://www.youtube.com/watch?v=DQ8orIurGxw