vgsatorras's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rlabbe/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.
phillipi/pix2pix
Image-to-image translation with conditional adversarial nets
pytorch/tutorials
PyTorch tutorials.
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
caogang/wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
yenchenlin/pix2pix-tensorflow
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
ehoogeboom/e3_diffusion_for_molecules
imatge-upc/detection-2016-nipsws
Hierarchical Object Detection with Deep Reinforcement Learning
mbforbes/py-factorgraph
Factor graphs and loopy belief propagation implemented in Python
hichamjanati/pyldpc
Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.
imatge-upc/skiprnn-2017-telecombcn
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
WilsonWangTHU/NerveNet
imatge-upc/liverseg-2017-nipsws
Detection-aided Liver Lesion Segmentation
alexnowakvila/QAP_pt