Automatic extraction of relevant features from time series:
created at Oct. 26, 2016, 11:29 a.m.
Performance analysis of predictive (alpha) stock factors
created at June 3, 2016, 9:49 p.m.
A collection of infrastructure and tools for research in neural network interpretability.
created at Jan. 25, 2018, 5:41 p.m.
LAVIS - A One-stop Library for Language-Vision Intelligence
created at Aug. 24, 2022, 2:36 a.m.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
created at Aug. 27, 2018, 4 p.m.
A scikit-learn compatible neural network library that wraps PyTorch
created at July 18, 2017, 12:13 a.m.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
created at Sept. 15, 2016, 1:04 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.
created at Nov. 25, 2020, 3:20 p.m.
Python package for Bayesian Machine Learning with scikit-learn API
created at July 30, 2015, 3:15 a.m.
Synthetic data generators for tabular and time-series data
created at May 4, 2020, 3:52 p.m.
Use evolutionary algorithms instead of gridsearch in scikit-learn
created at Oct. 28, 2015, 10:52 p.m.