karypis's Stars
Mozilla-Ocho/llamafile
Distribute and run LLMs with a single file.
openucx/ucc
Unified Collective Communication Library
aws-samples/aws-healthcare-lifescience-ai-ml-sample-notebooks
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
aws/graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
zinggAI/zingg
Scalable identity resolution, entity resolution, data mastering and deduplication using ML
iterative/dvc
🦉 ML Experiments and Data Management with Git
cognitiveailab/tg2021task
Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration
scandum/quadsort
Quadsort is a branchless stable adaptive mergesort faster than quicksort.
facebookresearch/nbref
Codebase for paper "N-Bref A High-fidelity Decompiler Exploiting Programming Structures"
dellacortelab/prospr
ProSPr: Protein Structure Prediction
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
triton-lang/triton
Development repository for the Triton language and compiler
jiehsheng/PatentTransformer
Transformer models for Augmented Inventing
ofiwg/libfabric
Open Fabric Interfaces
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
LLNL/lbann
Livermore Big Artificial Neural Network Toolkit
aws/aws-graviton-getting-started
Helping developers to use AWS Graviton2, Graviton3, and Graviton4 processors which power the 6th, 7th, and 8th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d], R8g).
NVIDIA-Merlin/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
basicmi/AI-Chip
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
awslabs/sagemaker-graph-fraud-detection
Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks
woojeongjin/dynamic-KG
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
thunlp/FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
fhircat/CORD-19-on-FHIR
Semantics for COVID-19 Discovery
thunlp/NREPapers
Must-read papers on neural relation extraction (NRE)
ryanzhumich/editsql
microsoft/IRNet
An algorithm for cross-domain NL2SQL