WhoIsJack
Systems biologist studying the principles of self-organization at the interface of cell and developmental biology.
University College LondonLondon, United Kingdom
WhoIsJack's Stars
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
numpy/numpy
The fundamental package for scientific computing with Python.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
mxgmn/WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
matplotlib/matplotlib
matplotlib: plotting with Python
micropython/micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
learn-anything/learn-anything.xyz
Organize world's knowledge, explore connections and curate learning paths
networkx/networkx
Network Analysis in Python
scipy/scipy
SciPy library main repository
dask/dask
Parallel computing with task scheduling
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
lmcinnes/umap
Uniform Manifold Approximation and Projection
scikit-image/scikit-image
Image processing in Python
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
widgetti/ipyvolume
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
DmitryUlyanov/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
jakevdp/sklearn_tutorial
Materials for my scikit-learn tutorial
Image-Py/imagepy
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
imagej/imagej2
Open scientific N-dimensional image processing :microscope: :sparkler:
luispedro/mahotas
Computer Vision in Python
fiji/fiji
A "batteries-included" distribution of ImageJ :battery:
paulbrodersen/netgraph
Publication-quality network visualisations in python
scikit-tda/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
ericmjl/nxviz
Visualization Package for NetworkX
bioFAM/MOFA
Multi-Omics Factor Analysis
ericmjl/bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
karinsasaki/python-workshop-image-processing
Using Python for image processing and analysis
karinsasaki/fundamentals-of-matlab
A basic introduction to programming with MATLAB