GFPGAN aims at developing Practical Algorithms
A cross-platform Python library for differentiable programming
MiniSom is a minimalistic implementation of the Self Organizing Maps
A library for deep learning end-to-end dialog systems and chatbots
Modular quant framework
A high performance implementation of HDBSCAN clustering
Source code of PyGAD, Python 3 library for building genetic algorithms
Extensible, parallel implementations of t-SNE
A game theoretic approach to explain the output of ml models
Automated machine learning with scikit-learn
A unified framework for machine learning with time series
Standalone, small, language-neutral
Python package for AutoML on Tabular Data with Feature Engineering
A Python implementation of LightFM, a hybrid recommendation algorithm
High-quality single file implementation of Deep Reinforcement Learning
Fast Forward Computer Vision (and other ML workloads!)
Detecting silent model failure. NannyML estimates performance
Implementation of Imagen, Google's Text-to-Image Neural Network
Automatic architecture search and hyperparameter optimization
Book about interpretable machine learning
This is an AI language model that can predict Heart failure or stroke
Deep learning gateway on Raspberry Pi and other edge devices
Pre-trained and Reproduced Deep Learning Models
Time Series Forecasting Best Practices & Examples
Enables easy experimentation with state of the art algorithms