An opinionated list of awesome Python frameworks, libraries, software and resources.

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning for humans

💫 Industrial-strength Natural Language Processing (NLP) in Python

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Open source platform for the machine learning lifecycle

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Low-code framework for building custom LLMs, neural networks, and other AI models

Minimal and clean examples of machine learning algorithms implementations

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Perform data science on data that remains in someone else's server

Distributed Asynchronous Hyperparameter Optimization in Python

Python Data. Leaflet.js Maps.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Build Graph Nets in Tensorflow

common data analysis and machine learning tasks using python

Uplift modeling and causal inference with machine learning algorithms

Model interpretability and understanding for PyTorch

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

Algorithms for explaining machine learning models

Effective Python: Third Edition — Source Code and Errata for the Book

A Python library that helps data scientists to infer causation rather than observing correlation.

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

A Python package to assess and improve fairness of machine learning models.

Actively maintained, pure Python wrapper for the Twitter API. Supports both normal and streaming Twitter APIs.

MLBox is a powerful Automated Machine Learning python library.

A python library for implementing a recommender system

Multivariate imputation and matrix completion algorithms implemented in Python