Stars
AWS Lambda functions to generate pdf files and images
Rock-solid transactional email templates for applications.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Automated feature engineering for geospatial data
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Provide an input CSV and a target field to predict, generate a model + code to run it.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Low-code framework for building custom LLMs, neural networks, and other AI models
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Automated Machine Learning with scikit-learn
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A python library for decision tree visualization and model interpretation.
Code to compute permutation and drop-column importances in Python scikit-learn models
Data Apps & Dashboards for Python. No JavaScript Required.
Set up a modern web app by running one command.
An open source python library for automated feature engineering
Automatic extraction of relevant features from time series:
Tensors and Dynamic neural networks in Python with strong GPU acceleration