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An F/OSS solution combining AI with Wikipedia knowledge via a RAG pipeline

Python 72 3 Updated Jan 12, 2025

ImputeGAP: A library of Imputation Techniques for Time Series Data

Jupyter Notebook 60 10 Updated Aug 7, 2025

A list of recent papers about Link Prediction.

114 5 Updated Nov 12, 2025

The code of paper Rethinking Graph Convolutional Networks in Knowledge Graph Completion. Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. WWW 2022.

Python 63 11 Updated Mar 29, 2022

Chronos: Pretrained Models for Time Series Forecasting

Python 4,406 514 Updated Nov 28, 2025

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

TypeScript 11,439 1,895 Updated Nov 28, 2025

Repository to demonstrate Chain of Table reasoning with multiple tables powered by LangGraph

Jupyter Notebook 147 23 Updated Apr 9, 2024

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Python 283 34 Updated Apr 17, 2025
Jupyter Notebook 4 Updated Dec 28, 2022
Python 4 2 Updated May 30, 2024

an anagram

Java 136 10 Updated Aug 26, 2021
Python 4 3 Updated Dec 5, 2015

This is V1 of my Portfolio Page. Created entirely within React. Utilizes a Linux inspired terminal design.

JavaScript 68 20 Updated Jan 15, 2024

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Jupyter Notebook 286 48 Updated Oct 25, 2020

Electronic Chaos Oracle

Jupyter Notebook 6 1 Updated Nov 23, 2017

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Python 212 44 Updated Nov 6, 2022

A curated collection of adversarial attack and defense on graph data.

Python 575 78 Updated Nov 7, 2023

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, p…

458 37 Updated Sep 11, 2024
Python 4 Updated Jun 21, 2022

code for paper Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases

Python 6 1 Updated Jun 12, 2018

Representation Learning of Knowledge Graphs with Entity Descriptions (AAAI'16)

C++ 237 59 Updated Nov 23, 2019

Latex code for making neural networks diagrams

TeX 24,146 3,025 Updated Aug 21, 2023

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Jupyter Notebook 4,841 751 Updated Mar 18, 2024

Deep universal probabilistic programming with Python and PyTorch

Python 8,922 1,007 Updated Jul 9, 2025

Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.

4 1 Updated Jun 15, 2019

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

C++ 17,889 3,968 Updated Nov 29, 2025

An ipython notebook detailing an implementation of an LSTM using characters as input

Jupyter Notebook 1 Updated Nov 21, 2017

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Jupyter Notebook 2,289 480 Updated Feb 13, 2023

Bayesian Modeling and Probabilistic Programming in Python

Python 9,384 2,166 Updated Nov 24, 2025
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