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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: 349
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…
pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
roboflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
google-ai-edge
Cross-platform, customizable ML solutions for live and streaming media.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
interpretml
Fit interpretable models. Explain blackbox machine learning.
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…
tensorflow
A flexible, high-performance serving system for machine learning models
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
rasbt
Code Repository for Machine Learning with PyTorch and Scikit-Learn
probml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
huggingface
Build local voice agents with open-source models
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.