Franklin Richard Stewart's starred repositories
gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
chatbot-ui
Come join the best place on the internet to learn AI skills. Use code "chatbotui" for an extra 20% off.
LocalAI
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed inference
labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
popcorn-desktop
Popcorn Time is a multi-platform, free software BitTorrent client that includes an integrated media player ( Windows / Mac / Linux ) A Butter-Project Fork
openplayground
An LLM playground you can run on your laptop
Material-You-app-list
🍦 A well organized & frequently updated collection of apps that supports material you design/theme.
awesome-google-colab
Google Colaboratory Notebooks and Repositories (by @firmai)
model-gallery
:card_file_box: a curated collection of models ready-to-use with LocalAI
car-damage-detective
Assessing car damage with convolution neural networks for a personal auto claims expedition use case
awesome-telegram-groups
List of telegram groups
car-damage-detector
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
car-damage-assessment
Computer Vision and Deep Learning techniques to accurately classify vehicle damage to facilitate claims triage by training convolution neural networks
Car-Damage-Detector
Code example demonstrating how to detect damage intensity of a damaged car using deep learning
Car-Damage-Detector
A Custom Image Detection Pipeline for Detecting Damaged Vehicles
CarDamageMaskRCNN
Car Damage Detection Using Mask RCNN
Serverless-Image-Recognition-Website-Using-AWS
Serverless Image Recognition Using AWS Rekognition
car-damage-assessment-pytorch
Analysis of cars using deep learning techniques
car-damage-detector
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.