-
University of Malaya
- Kuala Lumpur
- https://www.linkedin.com/in/junw
Stars
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
The official home of the Presto distributed SQL query engine for big data
Scalable and efficient data transformation framework - backwards compatible with dbt.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https://github.com/flyteorg/flyte-sdk
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
An orchestration platform for the development, production, and observation of data assets.
A collection of machine learning examples and tutorials.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
GlareDB: A light and fast SQL database for analytics
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Apache Kafka Series - Learn Apache Kafka for Beginners v3
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
The official repository of "ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory".
A natural language interface for computers
stable diffusion webui colab
A latent text-to-image diffusion model
Stable Diffusion web UI
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
This is the code repo of our ICIP2023 work that proposes a novel approach to low-light image enhancement using the diffusion model (LLDE).