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advanced-forecasting-python

Source Code for 'Advanced Forecasting with Python' by Joos Korstanje

aipoincare

Counting the number of conservation laws from trajectory data

awesome-gnn4ts

📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

bilouvain

biLouvain with algorithmic extensions: Multi-fuse, Murata+ exploiting intra-type information.

bkai2023-tracktikiroutingoptimization

This repo contains the baseline, report slide and technical report for my SOICT HACKATHON in the Track Tiki: Routing Optimization.

code_eccv2022_dlme

concernet

conservation-laws-manifold-learning

Discovering Conservation Laws using Optimal Transport and Manifold Learning

conservative_pinns

We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

conservnet

Repository for the ConservNet architecture.

data-analysis-20202

This is Image Clustering project

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

deeplearning

深度学习、强化学习、模仿学习与机器人

drnb

Dimensionality reduction notebooks

forecasting_atm_cash_demand

Forecasting ATM cash demand before and during the COVID-19 pandemic using an extensive evaluation of statistical and machine learning models

gluonts

Probabilistic time series modeling in Python

gnn-recommender-systems

An index of recommendation algorithms that are based on Graph Neural Networks.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

hackathon-quynhonai-2022

NamCyan at Quy Nhon AI hackathon 2022 - 3rd rank in both Review Analytics and Trip planer tasks

hope

SIGMOD 2024 paper titled "Efficient High-Quality Clustering for Large Bipartite Graphs"

icassp-2023-papers

ICASSP 2023 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023 conference. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

igmtf

The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting".

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

mmcr

This is a clean, opinionated and minimalist implementation of the training and evaluation protocols for a fancy new self supervised learning (SSL) method called maximum manifold capacity representations.

mtgnn

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

neural-conservation-law

code for "Neural Conservation Laws A Divergence-Free Perspective".

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.