JardinDelSol's repositories
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Neural-Temporal-Walks
[NIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
graph_genetics
Phenotype prediction through genotype by means of GNNs
Transformer-Hawkes-Process
Code for Transformer Hawkes Process, ICML 2020.
neural_stpp
Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.
neural-flows-experiments
Experiments for Neural Flows paper
latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
FingerGen_Backend
Django API for Fake Fingerprint Generation
anhp-andtt
Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
continuous-latent-process-flows
Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)
ckconv
Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/2102.02611
neurawkes
Source code of The Neural Hawkes Process (NIPS 2017)
tf_rmtpp
Recurrent Marked Temporal Point Processes
vision
Datasets, Transforms and Models specific to Computer Vision
Glow-PyTorch
Simple, extendable, easy to understand Glow implementation in PyTorch
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
OculusQuest2Demo
For Oculus 2
GoogleCardBoardDemo
A simple Google Cardboard application (Unity)
git-exercises
simple git-exercises from opentutorials.org
gru_ode_bayes
Pytorch implementation of GRU-ODE-Bayes
neural-hawkes-particle-smoothing
Source code of the neural Hawkes particle smoothing (ICML 2019)