Highlights
- Pro
Stars
scikit-learn: machine learning in Python
The interactive graphing library for Python β¨ This project now includes Plotly Express!
Datasets, Transforms and Models specific to Computer Vision
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
An autoregressive character-level language model for making more things
An intuitive library to add plotting functionality to scikit-learn objects.
Genetic Programming in Python, with a scikit-learn inspired API
TODS: An Automated Time-series Outlier Detection System
Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
A Python Library for Graph Outlier Detection (Anomaly Detection)
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
A pytorch port of google-research/google-research/robust_loss/
Access and analyze historical weather and climate data with Python.
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Python library to train neural networks with a strong focus on hydrological applications.
Python PDF parser for scientific publications: content and figures
π Verification of weather and climate forecasts π
π» pyet is a Python package to estimate reference and potential evaporation.
A machine learning model for the prediction of optimal growth temperature of microorganisms and enzyme catalytic optima
Code Repository for Advanced Guide to Python 3 Programming