gauravjaglan

gauravjaglan's Stars

• binhnguyennus/awesome-scalability

  The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

  59.7k1.9k06.1k

• NationalSecurityAgency/ghidra

  Ghidra is a software reverse engineering (SRE) framework

  Language:Java52.7k1k5k6k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.5k950243.7k

• nltk/nltk

  NLTK Source

  Language:Python13.7k4601.8k2.9k

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10.1k851.9k1.5k

• lux-org/lux

  Automatically visualize your pandas dataframe via a single print! 📊 💡

  Language:Python5.2k91236370

• Accenture/AmpliGraph

  Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

  Language:Python2.2k67225249

• DerwenAI/pytextrank

  Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

  Language:Python2.2k65101333

• pykeen/pykeen

  🤖 A Python library for learning and evaluating knowledge graph embeddings

  Language:Python1.7k27555192

• semantalytics/awesome-semantic-web

  A curated list of various semantic web and linked data resources.

  1.4k10763242

• DeepGraphLearning/KnowledgeGraphEmbedding

  Language:Python1.3k2554267

• MilaNLProc/contextualized-topic-models

  A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

  Language:Python1.2k17109147

• mahmoudparsian/pyspark-tutorial

  PySpark-Tutorial provides basic algorithms using PySpark

  Language:Jupyter Notebook1.2k553474

• THUMNLab/AutoGL

  An autoML framework & toolkit for machine learning on graphs.

  Language:Python1.1k3039119

• uma-pi1/kge

  LibKGE - A knowledge graph embedding library for reproducible research

  Language:Python79020171128

• DerwenAI/kglab

  Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

  Language:Jupyter Notebook594238667

• usc-isi-i2/kgtk

  Knowledge Graph Toolkit

  Language:Jupyter Notebook3672053459

• edmcouncil/fibo

  The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those things can relate to one another. In this way, FIBO can give meaning to any data (e.g., spreadsheets, relational databases, XML documents) that describe the business of finance.

  Language:Shell3464674369

• predict-idlab/pyRDF2Vec

  🐍 Python Implementation and Extension of RDF2Vec

  Language:Python251158652

• althonos/pronto

  A Python frontend to (Open Biomedical) Ontologies.

  Language:Python2311213148

• graphistry/graph-app-kit

  Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!

  Language:Python205144624

• paulhoule/gastrodon

  Visualize RDF data in Jupyter with Pandas

  Language:Jupyter Notebook1349816

• SDM-TIB/SDM-RDFizer

  An Efficient RML-Compliant Engine for Knowledge Graph Construction

  Language:Python113189625

• carml/carml

  A pretty sweet RML engine, for RDF.

  Language:Java101167720

• AskNowQA/EARL

  Entity And RELation mapping

  Language:Python100111618

• om-hb/kgextension

  Knowledge Graph Extension for Python - Team Project 2020 @ Uni Mannheim

  Language:Python76405

• kiat/BigDataAnalytics

  Big Data Analytics - Spark and Machine Learning Examples

  Language:Jupyter Notebook5270102

• EIS-Bonn/Squerall

  An implementation of the so-called Semantic Data Lake, using Apache Spark and Presto.

  Language:Scala309912

• oeg-upm/gtfs-bench

  GTFS-Madrid-Bench: A Benchmark for Knowledge Graph Construction Engines

  Language:Python1796912

• RogerJTX/KbpPipeline_ExpertSystem

  expert's complete process, including expert classification, expert data cleaning, conference data classification, executive classification, domain news, Arango and HBase

  Language:Python3201