🎡 Build Python wheels for all the platforms with minimal configuration.

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

DJ Ansible plugin

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization

A list of awesome and proven Artificial Intelligence use cases and applications

Mathematical Materials for AI/Machine Learning/Studies

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

An Open Source Machine Learning Framework for Everyone

high dimensional neural network potential

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

AutoML library for deep learning

Image processing in Python

Deep neural network to extract intelligent information from invoice documents.

Optimal Bayesian Experiment Design

Training PyTorch models with differential privacy

Scripts for data acquisition with paper based surveys

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

SchNetPack - Deep Neural Networks for Atomistic Systems

A blog about machine learning.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…

Always know what to expect from your data.

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

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit