Koç University deep learning framework.
- knet
- deep-learning
- julia
- machine-learning
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Koç University deep learning framework.
A Python library for introductory data science
Use evolutionary algorithms instead of gridsearch in scikit-learn
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
food image to recipe with deep convolutional neural networks.
Python package for Bayesian Machine Learning with scikit-learn API
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
An OCaml kernel for Jupyter (IPython) notebook
Materials for GWU DNSC 6279 and DNSC 6290.
Python for chemoinformatics
scikit-learn wrappers for Python fastText.
scPerturb: A resource and a python/R tool for single-cell perturbation data
tutorials made for biologists to learn deep learning
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Sources for the Network Science Cheatsheets
:game_die: Neutrino research