Code for Kaggle Data Science Competitions
MIT License
A constantly updated python machine learning cheatsheet
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Use advanced feature engineering strategies and select best features from your data set with a si...
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detec...
A simple AutoML tool for small datasets with useful helper functions
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Kaggle HubMap
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Generative Models by Stability AI
access sklearn (scikit-learn) machine learning library via command line
Automating the process of Data Preprocessing for Data Science
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in ...
[UNMAINTAINED] Automated machine learning for analytics & production