Automatic detection of robust parametrizations for LDA and NMF. Compatible with scikit-learn and gensim.
MIT License
Data science tools for exploration, visualization, and model iteration.
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Colla...
An experiment about re-implementing supervised learning models based on shallow neural network ap...
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
A constantly updated python machine learning cheatsheet
3 lines of code for automate machine learning for classification and regression
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Expl...
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
Implementations of the machine learning algorithm with Python and numpy
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...
Powerful topic model visualization in Python
Automated Tool for Optimized Modelling
General Assembly's 2015 Data Science course in Washington, DC
Practice and tutorial-style notebooks covering wide variety of machine learning techniques