Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
APACHE-2.0 License
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
torchao: PyTorch Architecture Optimization (AO). Performant kernels that work with PyTorch.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Collection of SOTA efficient computer vision models for embedded applications, with pre-trained w...
Model analyzer in PyTorch
An extension of Open3D to address 3D Machine Learning tasks
Pytorch framework for doing deep learning on point clouds.
View model summaries in PyTorch!
High-level library to help with training and evaluating neural networks in PyTorch flexibly and t...
Flops counter for convolutional networks in pytorch framework
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
Model summary in PyTorch similar to `model.summary()` in Keras
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xceptio...
Deep and online learning with spiking neural networks in Python