simonwoodhead's Stars
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
AnswerDotAI/ghapi
A delightful and complete interface to GitHub's amazing API
AykutSarac/jsoncrack.com
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
recommenders-team/recommenders
Best Practices on Recommendation Systems
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
microsoft/project-azua
Data Efficient Decision Making
faif/python-patterns
A collection of design patterns/idioms in Python
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
OpenEducationAnalytics/OpenEducationAnalytics
This project provides open source Education Analytics solutions built on Azure.
jupyter/nbconvert
Jupyter Notebook Conversion
google/pinject
A pythonic dependency injection library.
ets-labs/python-dependency-injector
Dependency injection framework for Python
rmcelreath/stat_rethinking_2022
Statistical Rethinking course winter 2022
burnash/gspread
Google Sheets Python API
CAHLR/pyBKT
Python implementation of Bayesian Knowledge Tracing and extensions
kynan/nbstripout
strip output from Jupyter and IPython notebooks
fastai/fastbook
The fastai book, published as Jupyter Notebooks
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
cmu-phil/tetrad
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
rmcelreath/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
webermarcolivier/statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
danielcfurr/edstan-python
Python package for fitting item response theory models using psytan
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
tonysyu/matplotlib-style-gallery
A gallery displaying stylesheets for Matplotlib