jardindelsol Goto Github PK

anhp-andtt

Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

automated-canteen-ordering-system-uc7

automated-canteen-ordering-system-using-android

catchi_nichi_image

ckconv

Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/2102.02611

continuous-latent-process-flows

Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)

cuai_fingerprint_gen

data_structure

fingergen_backend

Django API for Fake Fingerprint Generation

git-exercises

simple git-exercises from opentutorials.org

glow-pytorch

Simple, extendable, easy to understand Glow implementation in PyTorch

googlecardboarddemo

A simple Google Cardboard application (Unity)

graph_genetics

Phenotype prediction through genotype by means of GNNs

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

jardindelsol.github.io

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

neural-flows-experiments

Experiments for Neural Flows paper

neural-hawkes-particle-smoothing

Source code of the neural Hawkes particle smoothing (ICML 2019)

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"

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

node_adjoint

oculusquest2demo

For Oculus 2

sahp_repo

tf_rmtpp

Recurrent Marked Temporal Point Processes

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

transformer-hawkes-process

Code for Transformer Hawkes Process, ICML 2020.

vision

Datasets, Transforms and Models specific to Computer Vision

web1