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VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
TODS: An Automated Time-series Outlier Detection System
A generative world for general-purpose robotics & embodied AI learning.
A Python library for advanced clustering algorithms
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.
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Fast rainflow counting written in C (C99). Including wrappers for MATLAB and Python
fatpack provides functions and classes for fatigue analysis of data series.
Automatic extraction of relevant features from time series: