vgsatorras

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

pix2pix

Image-to-image translation with conditional adversarial nets

tutorials

PyTorch tutorials.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

detection-2016-nipsws

Hierarchical Object Detection with Deep Reinforcement Learning

e3_diffusion_for_molecules

py-factorgraph

Factor graphs and loopy belief propagation implemented in Python

skiprnn-2017-telecombcn

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

pyldpc

Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.

NerveNet

liverseg-2017-nipsws

Detection-aided Liver Lesion Segmentation

QAP_pt