A personal research and development (R&D) lab that facilitates the sharing of knowledge.
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Updated
May 11, 2024 - HCL
A personal research and development (R&D) lab that facilitates the sharing of knowledge.
A high-throughput and memory-efficient inference and serving engine for LLMs
An orchestration platform for the development, production, and observation of data assets.
Self-Driven Autonomous Python Libraries
Workflow Engine for Kubernetes
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
This repository provides a guide for deploying Kubeflow on a self-managed Kubernetes cluster set up on bare metal hardware, enabling you to leverage the processing power of GPUs available on worker nodes. CRI-O, a lightweight alternative to Docker, is utilised as the container runtime engine.
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
Deploy Machine Learning resources within AWS via Terraform for MLOps.
Standardized Serverless ML Inference Platform on Kubernetes
Analyse your YouTube watch history using Data Science, ML and NLP.
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Built e2e ci/cd pipeline with GitHub Actions, Docker, Amazon ECR and hosted to AWS EC2
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
A Production Tool for Embodied AI
Colab notebooks exploring topics in Data Science and AI, discussed on the blog: https://medium.com/@jgrygolec
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