🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
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🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
food image to recipe with deep convolutional neural networks.
Python package for Bayesian Machine Learning with scikit-learn API
Sources codes for: Mastering Python for Finance, Second Edition
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Implementation of various topic models
An OCaml kernel for Jupyter (IPython) notebook
Materials for GWU DNSC 6279 and DNSC 6290.
Python for chemoinformatics
scikit-learn wrappers for Python fastText.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
scPerturb: A resource and a python/R tool for single-cell perturbation data
ChatGPT Python Applications integrated with third party libraries and modules
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
⬛ Python Individual Conditional Expectation Plot Toolbox
Tools for pen plotting in Python
Integrated pipeline for multiplexed image analysis
a nose plugin for finding and running IPython notebooks as nose tests
Research experiments exploring uncommon quant techniques.
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks