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deepgcfx

PyTorch implementation for our AAAI 2022 Paper "Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning"

deephistoclass

deeplearning_forecast

Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data

deeplogic

DeepLogic: Towards End-to-End Differentiable Logical Reasoning

deepymod

delight

DeLighT: Very Deep and Light-Weight Transformers

demand_forecast

Demand forecast task with different approach and frameworks

demand_forecast-1

dense

dhgnn

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

dhne

the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）

dig

A library for graph deep learning research

dilate

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

dirac

Deep reinforcement learning for spIn-glass gRound stAte Calculation

disenkgat

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

divine

DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning

dpk

Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty

dpmpn

dpmpn-1

Dynamically Pruned Message Passing Networks

drum

DRUM end to end differentiable rule mining on knowledge graphs

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

dugnn

duka

duka - Dukascopy historical data downloader

dyrep_torch

e2r

Code for our neurips 2019 paper "Quantum Embedding of Knowledge for Reasoning" (authors: Dinesh Garg, Shajith Ikbal, Santosh K Srivastava, Harit Vishwakarma, Hima Karanam, L Venkata Subramaniam)

echostatenetworks

Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".

echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

ecpi

Predicting biological effects of chemical-protein interactions