akalino

akalino's Stars

• RManLuo/Awesome-LLM-KG

  Awesome papers about unifying LLMs and KGs

  2.3k1181159

• taynaud/python-louvain

  Louvain Community Detection

  Language:Python9842278200

• nju-websoft/OpenEA

  A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

  Language:Python542145883

• mims-harvard/PrimeKG

  Precision Medicine Knowledge Graph (PrimeKG)

  Language:Jupyter Notebook5141519107

• gpeyre/SinkhornAutoDiff

  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

  Language:Python44121439

• ibalazevic/multirelational-poincare

  Multi-relational Poincaré Graph Embeddings

  Language:Python1586530

• devnkong/FLAG

  Official implementation of our FLAG paper (CVPR2022)

  Language:Python14321118

• chaoyuaw/incubator-mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++1143034

• AstraZeneca/biology-for-ai

  learning biology syllabus, geared for machine learning folks

  1103014

• scikit-learn-contrib/scikit-dimension

  A Python package for intrinsic dimension estimation

  Language:Python8552318

• monarch-initiative/curategpt

  LLM-driven curation assist tool

  Language:Jupyter Notebook8166113

• oasis-main/oasis-rpi

  Collection of useful scada/iot tools designed to run on Raspberry Pi and similar embedded linux platforms.

  Language:Python6661414

• suruoxi/DistanceWeightedSampling

  pytorch implementation of the ICCV paper Sampling Matters in Deep Embedding Learning

  Language:Python532211

• bcbi-edu/p_eickhoff_isoscore

  Language:Jupyter Notebook32502

• soodoku/data-science

  Lecture Slides for Introduction to Data Science

  Language:TeX25308

• adalmia96/umap-mnn

  Language:Jupyter Notebook23212

• bsorsch/geometry-fewshot-learning

  Language:Jupyter Notebook16104

• jakerylandwilliams/IaMaN

  It's a Machine and Natural

  Language:Jupyter Notebook14600

• INK-USC/IsoBN

  IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization

  Language:Python1263

• AKSW/natuke

  NatUKE: Natural Product Knowledge Extraction Benchmark

  Language:Jupyter Notebook102434

• genggengcss/PDKGC

  Language:Python8122

• nitishajain/KGESemanticAnalysis

  Language:Jupyter Notebook8321

• svenhsia/Entropic-Wasserstein-Embedding

  This is a course project of « Geometric Methods in Machine Learning » @ ENSAE, which aims at implementing the paper « Learning Embeddings into Wasserstein Spaces » (C. Frogner, et al.)

  Language:Jupyter Notebook8100

• liangyuxin42/weighted-removal

  code for Learning to Remove

  Language:Jupyter Notebook7101

• RuiqingDing/KnowledgeDA

  Language:Python6301

• wilseypa/lhf

  Lightweight Homology Framework

  Language:C++55228

• KyneWang/CoNE

  Source code for paper: Enhancing Knowledge Graph Embedding by Composite Neighbors for Link Prediction

  Language:Python41

• ansonb/HopfE

  Language:Python3200

• laquabe/RGHN

  Source code for RHGN (ACL'23 findings)

  Language:Python10

• vectornauts/vectorverse

  Language:Python1100