nrflynn2's Stars
spiside/pdb-tutorial
A simple tutorial about effectively using pdb
nrflynn2/swe-molecular-sciences
Course repo for CHEM 274B at UC Berkeley
nrflynn2/ml-drug-discovery
The official repository for the book "Machine Learning for Drug Discovery" (Manning Publications)
callumrollo/cmcrameri
Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge
hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
sachin-101/Machine-Learning-by-Andrew-Ng-Implementation-in-Python
To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
rougier/numpy-100
100 numpy exercises (with solutions)
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
fastai/course-v3
The 3rd edition of course.fast.ai
Sroy20/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
TomAugspurger/effective-pandas
Source code for my collection of articles on using pandas.
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Yorko/mlcourse.ai
Open Machine Learning Course
guipsamora/pandas_exercises
Practice your pandas skills!
hsiaoyi0504/awesome-cheminformatics
A curated list of Cheminformatics libraries and software.
adnanaziz/EPIJudge
EPI Judge - Preview Release
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
griffithlab/rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
vsbuffalo/bds-files
Supplementary files for my book, "Bioinformatics Data Skills"
stat385uiuc/su2016
STAT 385: Statistics Programming Methods @ UIUC (website currently deactivated)
getify/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.