Repository Index

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

Turns Data and AI algorithms into production-ready web applications in no time.

• automation
• data-engineering
• data-ops
• data-visualization

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

The machine learning toolkit for time series analysis in Python

• time-series
• timeseries
• time-series-analysis
• time-series-clustering

StellarGraph - Machine Learning on Graphs

• graphs
• machine-learning
• machine-learning-algorithms
• graph-convolutional-networks

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

• ai
• fairness-ai
• fairness
• fairness-testing

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

• visualization
• python3
• python
• xgboost

Python-based implementations of algorithms for learning on imbalanced data.

• data-science
• machine-learning
• imbalanced-data
• notre-dame

A fast xgboost feature selection algorithm

• machine-learning
• machine-learning-algorithms
• feature-selection
• xgboost-algorithm