Awesome LIDAR
Section: Libraries
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Appears in 4 awesome lists
is a geometric deep learning extension library for PyTorch.
Section: Libraries
Section: Graph Machine Learning · Geometric Deep Learning Extension Library for PyTorch.
Section: Other libraries: · Geometric Deep Learning Extension Library for PyTorch
Section: Differential Privacy Tools · is a geometric deep learning extension library for PyTorch.
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.
High-level library for training and evaluating neural networks in PyTorch with an engine, events & handlers system for maximum flexibility. BSD-3-Clause licensed.
High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
Deep learning library providing practitioners with high-level components for state-of-the-art results. Built on PyTorch with a focus on usability and transfer learning. Apache 2.0 licensed.
Accelerate abstracts exactly and only the boilerplate code related to multi-GPU/TPU/mixed-precision and leaves the rest of your code unchanged.