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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…
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Results: 97
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.
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
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.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
dair-ai
📺 Discover the latest machine learning / AI courses on YouTube.
lance-format
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas…