#other #graph_convolutional_networks #graph_neural_networks #graph_representation_learning #scalable_deep_learning #gnn #efficient_neural_networks #efficient_deep_learning
https://github.com/chaitjo/awesome-efficient-gnn
https://github.com/chaitjo/awesome-efficient-gnn
GitHub
GitHub - chaitjo/efficient-gnns: Code and resources on scalable and efficient Graph Neural Networks
Code and resources on scalable and efficient Graph Neural Networks - chaitjo/efficient-gnns
#jupyter_notebook #ai #deep_learning #interview #interview_practice #interview_preparation #interviews #machine_learning #machine_learning_algorithms #scalable_applications #system_design
https://github.com/alirezadir/machine-learning-interview-enlightener
https://github.com/alirezadir/machine-learning-interview-enlightener
GitHub
GitHub - alirezadir/Machine-Learning-Interviews: This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews. - GitHub - alirezadir/Machine-Learning-Interviews: This repo is meant to serve as a guide for Machine Learning/...
#hcl #action_runner #actions_runner #aws #cicd #github #github_actions #hacktoberfest #lambda #scalable #self_hosted #serverless #terraform
https://github.com/philips-labs/terraform-aws-github-runner
https://github.com/philips-labs/terraform-aws-github-runner
GitHub
GitHub - philips-labs/terraform-aws-github-runner: Terraform module for scalable GitHub action runners on AWS (MOVED)
Terraform module for scalable GitHub action runners on AWS (MOVED) - philips-labs/terraform-aws-github-runner
#cplusplus #analytics #bigquery #cloud_native #cpp #database #distributed_database #distributed_transactions #hacktoberfest #htap #mysql #mysql_compatibility #mysql_database #oceanbase #olap #oltp #paxos #scalable #sql #vector_database
OceanBase Database is a powerful, distributed relational database developed by Ant Group. It offers several key benefits It can handle large amounts of data and scale easily.
- **Fast Performance** It saves up to 90% on storage costs.
- **Real-time Analytics** It ensures zero data loss and quick recovery times.
- **MySQL Compatibility**: It is easy to migrate from MySQL databases.
You can quickly start using OceanBase with simple deployment options using commands or Docker, making it easy to get started and benefit from its advanced features.
https://github.com/oceanbase/oceanbase
OceanBase Database is a powerful, distributed relational database developed by Ant Group. It offers several key benefits It can handle large amounts of data and scale easily.
- **Fast Performance** It saves up to 90% on storage costs.
- **Real-time Analytics** It ensures zero data loss and quick recovery times.
- **MySQL Compatibility**: It is easy to migrate from MySQL databases.
You can quickly start using OceanBase with simple deployment options using commands or Docker, making it easy to get started and benefit from its advanced features.
https://github.com/oceanbase/oceanbase
GitHub
GitHub - oceanbase/oceanbase: The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads. - oceanbase/oceanbase
#rust #agent #ai #artificial_intelligence #automation #generative_ai #large_language_model #llm #llmops #rust #scalable_ai
Rig is a Rust library that helps you build apps using Large Language Models (LLMs) like OpenAI and Cohere. It makes it easy to integrate these models into your application with minimal code. Rig supports various vector stores like MongoDB and Neo4j, and it provides simple but powerful tools to work with LLMs. To get started, you can add Rig to your project using `cargo add rig-core` and follow the examples provided. This library is constantly improving, so your feedback is valuable. Using Rig can save you time and effort by providing a straightforward way to use LLMs in your projects.
https://github.com/0xPlaygrounds/rig
Rig is a Rust library that helps you build apps using Large Language Models (LLMs) like OpenAI and Cohere. It makes it easy to integrate these models into your application with minimal code. Rig supports various vector stores like MongoDB and Neo4j, and it provides simple but powerful tools to work with LLMs. To get started, you can add Rig to your project using `cargo add rig-core` and follow the examples provided. This library is constantly improving, so your feedback is valuable. Using Rig can save you time and effort by providing a straightforward way to use LLMs in your projects.
https://github.com/0xPlaygrounds/rig
GitHub
GitHub - 0xPlaygrounds/rig: ⚙️🦀 Build modular and scalable LLM Applications in Rust
⚙️🦀 Build modular and scalable LLM Applications in Rust - 0xPlaygrounds/rig