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…
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Results: 102
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
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.
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
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
aimhubio
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.