Automatic extraction of relevant features from time series:
updated at Nov. 17, 2024, 4:03 a.m.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
updated at Nov. 17, 2024, 2:55 a.m.
LAVIS - A One-stop Library for Language-Vision Intelligence
updated at Nov. 17, 2024, 2:34 a.m.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
updated at Nov. 16, 2024, 3 p.m.
A scikit-learn compatible neural network library that wraps PyTorch
updated at Nov. 16, 2024, 1:52 a.m.
Performance analysis of predictive (alpha) stock factors
updated at Nov. 15, 2024, 4:28 p.m.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
updated at Nov. 14, 2024, 10:50 p.m.
Synthetic data generators for tabular and time-series data
updated at Nov. 14, 2024, 6:05 p.m.
A library of metrics for evaluating recommender systems
updated at Nov. 14, 2024, 2:55 a.m.
A collection of infrastructure and tools for research in neural network interpretability.
updated at Nov. 13, 2024, 10:14 a.m.
Python package for Bayesian Machine Learning with scikit-learn API
updated at Nov. 12, 2024, 10:41 a.m.