freekang Goto Github PK

neural-manifold-dynamics

Reduced-order modelling using an atlas of charts

neural-structured-learning

Training neural models with structured signals.

neural_decomposition

Neaural Decomposition (ND)

neural_decomposition-1

Neural Decomposition Code for Time Series

neuralgas

NeuralGas - Open Source Library for Self-Organized Learning

nhne

The implementation for "Nonuniform Hyper-Network Embedding with Dual Mechanism" (TOIS)

nlil

Neural Logic Inductive Learning

noisy-maml

non-ar-spatial-temporal-transformer

Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.

nonlinearobservability

Codes for testing the complete and functional observability of nonlinear system based on symbolic computation of Lie derivatives.

npmt

Towards Neural Phrase-based Machine Translation

nri

Neural relational inference for interacting systems - pytorch

nrtsi

This is the official repository of the paper "NRTSI: Non-Recurrent Time Series Imputation"

nscaching

Code for NSCaching

nwnsim

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

oc-svm

An One-Class Support Vector Machine implementation using LIBSVM.

ocgnn

my implement of my paper

ode-lstms

Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

off-policy-continuous-control

[DeepRL Workshop, NeurIPS-21] Recurrent Off-policy Baselines for Memory-based Continuous Control (RDPG, RTD3 and RSAC)

one-shot-relational-learning

Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

onn

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

oqr

Orthogonal Quantile Regression

p4j

Periodic time series analysis tools based on information theory

parallelized-reservoir-computing

This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the paper: Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach (Physical Review Letters, 120, 024102 (2018)).

partial_order_hypergraph

Source code of partial-order hypergraph and baselines in our WWW 2018 paper, Learning on Partial-Order Hypergraphs

patchycapsules

pathcon

Combining relational context and relational paths for knowledge graph completion

pathcon-1

Combining relational context and relational paths for knowledge graph completion

pcl

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"