Andrea-V's Stars
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
google-deepmind/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
sootlasten/disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
MasanoriYamada/Mine_pytorch
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
neale/Adversarial-Autoencoder
An adversarial autoencoder implementation in pytorch
mrtnoshad/EDGE
EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning
AndreaCossu/Relation-Network-PyTorch
Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028
steb6/Calliope
Master's thesis implementation
diningphil/E-CGMM
Official Repository of the paper "Modeling Edge Features with Deep Bayesian Graph Networks" (IJCNN 2021)
shekharRavi/Beyond-Task-Success-NAACL2019
[NAACL 2019] Pytorch Code for "Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat"
Inc-G/music_beat_tracking
ML project for music beat tracking
Inc-G/Q_learning_briscola
Inc-G/EM_algorithm_poisson_mixture
EM algorithm for Poisson mixture
Inc-G/Rummikub-helper
Helper for a variation of Rummikub, using tf object detection API