Jason Chester's starred repositories
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it. Not actively maintained.
ColossalAI
Making large AI models cheaper, faster and more accessible
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
table-transformer
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
awesome-vector-search
Collections of vector search related libraries, service and research papers
macos-subsystem-for-linux
Guide on how to use Qemu to create a similar effect to Windows Subsystem for Linux on macOS. Unfinished; contributions are welcome!
awesome-vision-and-language
A curated list of awesome vision and language resources (still under construction... stay tuned!)
azure-functions-docker
This repo contains the base Docker images for working with azure functions
keycloak-events
Useful Keycloak event listener implementations and utilities.
Logodetect
Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!
label-studio-yolov8-backend
ML backend for the Label Studio tool. The backend uses the YOLOv8 algorithm for image segmentation or detection.
yolov7-logo-detection
Logo detection using YOLOv7 with LogoDet-3K and Flickr Logos 27.
keycloak-admin-notifier
A Python script using the Keycloak Admin API to send notification emails on user events.
Keycloak-User-Importer
This project is a console application that allows you to import users from an Excel file to Keycloak.
YOLOv7_Logo_Detection
A simple repo with an notebook providing an end-to-end example of training a YOLOv7 model on local GPU