ML From Scratch
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
OPENAGENTSKILL / DIRECTORY
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Results: 98
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
alteryx
An open source python library for automated feature engineering
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…
pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
sktime
A unified framework for machine learning with time series
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
doccano
Open source annotation tool for machine learning practitioners.
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
afshinea
VIP cheatsheets for Stanford's CS 229 Machine Learning