Awesome Python Data Science

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Open standard for machine learning interoperability

TensorFlow-based neural network library

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Fit interpretable models. Explain blackbox machine learning.

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Build Graph Nets in Tensorflow

Shōgun

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

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.

Interpretability and explainability of data and machine learning models

Hyperparameter Experiments with TensorFlow and Keras

🎯 A comprehensive gradient-free optimization framework written in Python

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.