geoconv

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

GPL-3.0 License

Downloads

25

Stars

25

View Code on GitHub

Ecosystems: Keras, Tensorflow

Bot releases are hidden (Show)

geoconv - geoconv_v0.0.7 Latest Release

Published by andreasMazur 3 months ago

GeoConv Version 0.0.7

This small update mostly addresses pull request #6 and adds:

a fix to the bug that caused the GCC to fail during package installation due to the use of a deprecated numpy API
an update to the dependency requirements
minor adjustments to the parameters of the FAUST data generator

geoconv - geoconv_v0.0.6

Published by andreasMazur 8 months ago

GeoConv Version 0.0.6

GeoConv is now listed on the pypi index and can thus be installed via pip install geoconv. See README.md for further details
GeoConv implements basic preprocessing functionalities
GeoConv implements intrinsic mesh convolutions in Tensorflow/Keras and Pytorch
GeoConv provides benchmark and visualization tools

Package Rankings

Top 37.03% on Pypi.org

Related Projects

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

15 Mar 2018 1,806

ccm-aae

Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/18...

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

23 Oct 2017 844

CV-pretrained-model

A collection of computer vision pre-trained models.

14 Jul 2020 1,273

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

06 Nov 2019 4,372

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x

15 Jul 2019 1,009

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

19 Oct 2017 24,566

GradientAccumulator

Accumulated Gradients for TensorFlow 2

keras-neural-graph-fingerprint

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

ConvNeXt-TF

Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and i...

keras-gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

30 Sep 2016 244

awesome-tensorlayer

A curated list of dedicated resources and applications

06 May 2018 266

cdt-ccm-aae

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2...

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

03 Nov 2019 7,998

deepvision

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...