High-Performance Streaming Graph Analytics on GPUs

Primary codebase of CSNN - Concentric Spherical Neural Network for 3D Representation Learning

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

https://huyenchip.com/ml-interviews-book/

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A curated list of automated machine learning papers, articles, tutorials, slides and projects

A learning rate range test implementation in PyTorch

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

Pytorch framework for doing deep learning on point clouds.

A modular framework for neural networks with Euclidean symmetry

⚡ A Fast, Extensible Progress Bar for Python and CLI

A curated list of network embedding techniques.