Lists (21)
Bioinformatics
174 repositories
Command Line Tools
Utilities to make life easier on the command line.43 repositories
Computational Biology
49 repositories
Data and Code for Publications
2 repositories
Data Visualization
64 repositories
Database Tools
4 repositories
Deep Learning
2 repositories
HLA
6 repositories
Learning Statistics
16 repositories
Mac apps
7 repositories
Matrix Factorization
6 repositories
nim-lang
3 repositories
PDF Tools
Tools for dealing with the PDF file format.1 repository
Python package development
18 repositories
R package development
35 repositories
Regression
9 repositories
Rust
13 repositories
Single-cell Genomics Analysis
56 repositories
Tools for Academic Research
Tools designed to advance academic research.39 repositories
Web App Development
Libraries, packages, tools, and resources for building web applications.200 repositories
WebAssembly
Web apps powered by WebAssembly1 repository
Starred repositories
179
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Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
The "Python Machine Learning (1st edition)" book code repository and info resource
Code release for NeRF (Neural Radiance Fields)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
this repository accompanies the book "Grokking Deep Learning"
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Visualizations for machine learning datasets
From the basics to slightly more interesting applications of Tensorflow
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Create delightful software with Jupyter Notebooks
Book about interpretable machine learning
Learn python3 in one picture.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A collection of infrastructure and tools for research in neural network interpretability.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"