Llamrei's Stars
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
keras-team/keras
Deep Learning for humans
OpenInterpreter/open-interpreter
A natural language interface for computers
LAION-AI/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
cookiecutter/cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
hoffstadt/DearPyGui
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
vega/altair
Declarative statistical visualization library for Python
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
plasma-umass/coz
Coz: Causal Profiling
mortennobel/cpp-cheatsheet
Modern C++ Cheatsheet
copier-org/copier
Library and command-line utility for rendering projects templates.
tensorflow/profiler
A profiling and performance analysis tool for TensorFlow
roskakori/pygount
count lines of code for hundreds of languages using pygments
jupyter-guide/jupyter-guide
Guide for Reproducible Research and Data Science in Jupyter Notebooks
Teichlab/MultiMAP
MultiMAP for integration of single cell multi-omics
alan-turing-institute/mathematics-of-ml-course
ae-foster/dad
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
alphagov/passport-verify
:passport_control: :crown: :ballot_box_with_check: A passport.js strategy for GOV.UK Verify
dougbrion/3d-printing-guide
A collection of guides relating to various aspects of 3D printing.
cam-cambridge/cam-cambridge.github.io
Website for the Complex Additive Materials Group at the University of Cambridge
praguevara/UltimateChinese
Anki deck for learning chinese hanzi
TomasVaskevicius/implicit_sparsity_neurips2019
Supplementary material for NeurIPS 2019 paper "Implicit Regularization for Optimal Sparse Recovery" (Tomas Vaškevičius, Varun Kanade, Patrick Rebeschini) https://arxiv.org/abs/1909.05122
abriz97/Computational_Training_ICL
Materials for the "Computational Training" sessions for the Msc Statistics program at ICL.