Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
updated at May 4, 2024, 11:50 p.m.
A collection of infrastructure and tools for research in neural network interpretability.
updated at May 4, 2024, 11:36 p.m.
Performance analysis of predictive (alpha) stock factors
updated at May 4, 2024, 7:43 p.m.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
updated at May 4, 2024, 6:07 p.m.
LAVIS - A One-stop Library for Language-Vision Intelligence
updated at May 4, 2024, 12:56 p.m.
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
updated at May 4, 2024, 10:47 a.m.
Automatic extraction of relevant features from time series:
updated at May 3, 2024, 11:47 p.m.
Synthetic data generators for tabular and time-series data
updated at May 3, 2024, 6:06 p.m.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
updated at May 3, 2024, 3:27 p.m.
A scikit-learn compatible neural network library that wraps PyTorch
updated at May 2, 2024, 7:34 a.m.
⬛ Python Individual Conditional Expectation Plot Toolbox
updated at May 1, 2024, 7:14 p.m.
Use evolutionary algorithms instead of gridsearch in scikit-learn
updated at May 1, 2024, 2:37 p.m.