[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier
MIT License
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
An offline deep reinforcement learning library
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
Pytorch framework for doing deep learning on point clouds.
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convoluti...
Process hexagonally sampled data with PyTorch
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on...
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across t...