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| title: README | |
| emoji: π | |
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| <div align="center"> | |
| # β½ Gas Tensor | |
| ### Engineering Production AI Systems | |
| **Building scalable AI, Machine Learning, Data Platforms, and Cloud Infrastructure** | |
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| --- | |
| ### **From Data to Intelligence** | |
| *Building open-source AI models, datasets, Spaces, and production-ready infrastructure.* | |
| </div> | |
| --- | |
| # π About | |
| **Gas Tensor** is an engineering-first open-source organization dedicated to building scalable AI systems, modern data platforms, and cloud-native infrastructure. | |
| We focus on the complete AI lifecycleβfrom data engineering and model training to inference, MLOps, and production deployment. Our mission is to bridge research and engineering by delivering practical, high-quality open-source projects for developers, researchers, startups, and enterprises. | |
| --- | |
| # π― Our Focus | |
| Gas Tensor builds technologies across the modern AI ecosystem. | |
| - π€ Artificial Intelligence | |
| - π§ Machine Learning | |
| - π¬ Large Language Models (LLMs) | |
| - π Retrieval-Augmented Generation (RAG) | |
| - π€ AI Agents & Agentic Workflows | |
| - π¨ Multimodal AI | |
| - ποΈ Computer Vision | |
| - π Natural Language Processing | |
| - π Data Engineering | |
| - π Data Science | |
| - β‘ MLOps | |
| - π Model Serving & Inference | |
| - βοΈ Cloud Computing | |
| - βοΈ DevOps | |
| - ποΈ Platform Engineering | |
| - π Distributed Systems | |
| - π Open Source | |
| --- | |
| # π Technology Stack | |
| ### Programming Languages | |
| - Python | |
| - Go | |
| - TypeScript | |
| - JavaScript | |
| - SQL | |
| - Bash | |
| ### AI & Machine Learning | |
| - Hugging Face Transformers | |
| - PyTorch | |
| - TensorFlow | |
| - Scikit-learn | |
| - LangChain | |
| - LangGraph | |
| - LlamaIndex | |
| - Sentence Transformers | |
| - OpenCV | |
| - ONNX Runtime | |
| - vLLM | |
| - llama.cpp | |
| ### Data Engineering | |
| - Apache Spark | |
| - Apache Airflow | |
| - Apache Kafka | |
| - dbt | |
| - DuckDB | |
| - Pandas | |
| - Polars | |
| - Delta Lake | |
| - Apache Iceberg | |
| ### Vector Databases | |
| - Qdrant | |
| - Weaviate | |
| - Milvus | |
| - Chroma | |
| - Pinecone | |
| - FAISS | |
| ### Databases | |
| - PostgreSQL | |
| - MySQL | |
| - MongoDB | |
| - Redis | |
| - Elasticsearch | |
| ### MLOps | |
| - MLflow | |
| - Kubeflow | |
| - BentoML | |
| - Weights & Biases | |
| - DVC | |
| ### Cloud & DevOps | |
| - Docker | |
| - Kubernetes | |
| - Helm | |
| - Terraform | |
| - GitHub Actions | |
| - ArgoCD | |
| - Prometheus | |
| - Grafana | |
| - Nginx | |
| - AWS | |
| - Azure | |
| - Google Cloud Platform | |
| --- | |
| # π Featured Content | |
| - π€ Open-source Models | |
| - π Curated Datasets | |
| - π Hugging Face Spaces | |
| - π€ AI Agents | |
| - π¬ LLM Applications | |
| - π RAG Systems | |
| - π Data Pipelines | |
| - β‘ MLOps Templates | |
| - βοΈ Cloud Infrastructure | |
| - π Developer SDKs | |
| - π Tutorials & Examples | |
| - π¬ Research Projects | |
| --- | |
| # π‘ Engineering Principles | |
| - π Production First | |
| - π Open Source by Default | |
| - β€οΈ Developer Experience | |
| - π Scalable Architecture | |
| - βοΈ Cloud Native | |
| - π Automation Everywhere | |
| - π§ͺ Reproducible AI | |
| - π Data-Driven Engineering | |
| - π Observability | |
| - ποΈ Infrastructure as Code | |
| - π€ Community Collaboration | |
| - π Continuous Learning | |
| --- | |
| # π€ Contributing | |
| We welcome developers, researchers, students, and AI enthusiasts from around the world. | |
| Whether you're interested in: | |
| - Artificial Intelligence | |
| - Machine Learning | |
| - LLMs | |
| - AI Agents | |
| - Data Engineering | |
| - MLOps | |
| - DevOps | |
| - Cloud Infrastructure | |
| your contributions are always welcome. | |
| Feel free to: | |
| - β Star our repositories | |
| - π Report issues | |
| - π‘ Suggest ideas | |
| - π§ Submit pull requests | |
| - π Improve documentation | |
| --- | |
| # π Vision | |
| Gas Tensor aims to build an open ecosystem of production-ready AI technologies that empower developers and organizations to move seamlessly from research to real-world deployment. | |
| We believe the future of AI depends on reliable infrastructure, reproducible machine learning, scalable cloud platforms, and a thriving open-source community. | |
| --- | |
| <div align="center"> | |
| ## β½ Gas Tensor | |
| ### Engineering the Future of Intelligent Systems | |
| **Artificial Intelligence β’ Machine Learning β’ Data Engineering β’ MLOps β’ DevOps** | |
| *Build β’ Train β’ Deploy β’ Scale* | |
| β **Follow Gas Tensor for open-source models, datasets, Spaces, AI infrastructure, and production-ready engineering.** | |
| </div> |