Awesome papers about unifying LLMs and KGs

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Semantic Search

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (KG-RAG).

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Chemcrow

Implementing RAG with Amazon Bedrock, Amazon Titan, and Amazon OpenSearch Serverless

Examples of python neural net and ML stock prediction methods with sample stock data.

[NAACL'21 & ACL'21] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

Kokkos C++ Performance Portability Programming EcoSystem: The Programming Model - Parallel Execution and Memory Abstraction

Collection of samples and utilities for using ComputeCpp, Codeplay's SYCL implementation

STREAM, for lots of devices written in many programming models

RAJA Performance Suite

A high-performance, zero-overhead, extensible Python compiler using LLVM

Exercises and Solutions for "Programming Your GPU with OpenMP: A Hands-On Introduction"

Training examples for SYCL

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

SYCL-DNN is a library implementing neural network algorithms written using SYCL

Source code for 'Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL' by James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xin…

SYCL Academy, a set of learning materials for SYCL heterogeneous programming

TensorFlow and PyTorch Reference models for Gaudi(R)