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Neural Network Libraries

Learning to Rank in TensorFlow

Microsoft Distributed Machine Learning Toolkit

Algorithms for explaining machine learning models

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Algorithms for outlier, adversarial and drift detection

Automatic architecture search and hyperparameter optimization for PyTorch

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

An efficient video loader for deep learning with smart shuffling that's super easy to digest

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Scrape Twitter for Tweets

An intuitive library to add plotting functionality to scikit-learn objects.

Graph Neural Networks with Keras and Tensorflow 2.

A modular active learning framework for Python

Source-to-Source Debuggable Derivatives in Pure Python

Optax is a gradient processing and optimization library for JAX.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Reinforcement Learning in PyTorch

Feature engineering and selection open-source Python library compatible with sklearn.

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

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

🏕️ Reproducible development environment for humans and agents

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Open source time series library for Python

A toolkit for reproducible reinforcement learning research.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

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

Natural Gradient Boosting for Probabilistic Prediction