Claudio Casellato's repositories
Master-Thesis
Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling
Langevin-Dynamics
Simple example of Langevin Stochastic Gradient Dynamics
Continuous-Denoising-Diffusion
Non official TensorFlow v2 implementation of Continuous Time Denoising Diffusion from https://arxiv.org/abs/2011.13456
Bachelors-Thesis
Code for thesis "Reinforcement Learning in Normal Form Games"
Classification-with-Keras-in-R
Neural Network classification in R
distributions_sampling
Various sampled distributions
GAT_Classification
Classification of Cora Dataset with Keras and Spektral Graph Attention Network
Heteroskedasticity-DNN
Full Log-Likelihood Heteroskedastic Regression with Deep Neural Networks and Tensorflow
Income-Distribution
Income distribution of randomly transacting agents
NormalizingFlow
Implementation of NICE and RealNVP models in TensorFlow v2
ScoreMatching
Non official TensorFlow v2 implementation of Sliced Score Matching and Denoising Score Matching from https://arxiv.org/abs/1907.05600
FlutterStyleTransfer
Style Transfer demo app with pre-trained models
Newton-Method
Newton's method to find intersection between two curves
spektral
Graph Neural Networks with Keras and Tensorflow 2.
Variational-GAT-RNN
Non Official implementation of Variational Graph Recurrent Neural Network https://arxiv.org/abs/1908.09710 with GATv2 GNN in TensorFlow v2
Variational-Latent-Sequence-Clustering
Non Official Implementation of Disentangled Sequence Clustering for Human Intention Inference arXiv:2101.09500