jblagoja

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

OpenLLM

Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

exllama

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

trt-llm-rag-windows

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

KGE

Some papers on Knowledge Graph Embedding(KGE)

qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

ULTRA

A foundation model for knowledge graph reasoning

NeuralKG

[Tool] For Knowledge Graph Representation Learning

dragon

[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining

pyRDF2Vec

🐍 Python Implementation and Extension of RDF2Vec

GreaseLM

[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

KEPLER

Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".

SimKGC

ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

pLogicNet

ExpressGNN

LLM-KG-Reasoning

We want to try and evaluate LLMs using Knowledge Graphs

NLGraph

Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)

rdfrules

RDFRules: Analytical Tool for Rule Mining from RDF Knowledge Graphs

CoLE

I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning, CIKM 2022

UniKER

The official Pytorch implementation of "UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference"

ExCut

Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs

PDKGC

IterefinE

biokge

scholarly-QALD-challenge

Website for the scholarly QALD Challenge @ ISWC 2023