tranhungnghiep

AI-Conference-Info

Extensive acceptance rates and information of main AI conferences

AnalyzeKGE

Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

MEIM-KGE

Including W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, MEI, MEIM. Paper: MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction (IJCAI 2022).

KG20C

A Scholarly Knowledge Graph Benchmark Dataset

Parallel_Topic_Modeling

Efficient Parallel Time-aware Topic Modeling on Multi-core CPU.

MEI-KGE

High-performance implementations of W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, and MEI. Paper: Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion (ECAI 2020).

CitationAnalysis

Citation Analysis on the Microsoft Academic Graph Dataset

PaperRecommender

Scientific Paper Recommender Systems.

Awesome-Open-Problems-for-ML

A curated list of awesome open problems and datasets calling for research using machine learning tools

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

blist

A list-like type with better asymptotic performance and similar performance on small lists

CapsNet-Keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%.

COVID19Inspection

COVID-19 Inspection

CSPublicationCrawler

Computer science scholarly data crawler

fastText

Library for fast text representation and classification.

hyde_pixyll

Jekyll theme: Hyde sidebar + Pixyll clean style.

ICDAR2019_cTDaR

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

Java-ML-Utils

A collection of useful utilities for machine learning and text mining in Java

leela-chess

A chess adaption of GCP's Leela Zero

models

Models built with TensorFlow

node2vec

OpenKE

An Open-Source Package for Knowledge Embedding (KE)

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

SciTSR

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

SentEval

A python tool for evaluating the quality of sentence embeddings.

StarSpace

Learning embeddings for classification, retrieval and ranking.

tensor2tensor

A library for generalized sequence to sequence models

Tensorflow-101

TensorFlow Tutorials

texstudio

TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.

TimeSeriesAnalysisWithPython