Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

LLMs prompt augmentation with RAG by integrating external custom data from a variety of sources, allowing chat with such documents

Using Keras MobileNet-v2 model with your custom images dataset

This is a pytorch version of mobilenet implemented by Jupyter Notebook, the dataset consists of imagenet dataset and custom dataset.

Blank Sandbox. Load your own data with LOAD CSV or create data from scratch

The program is to automatically generate the trainging dataset of Eyes Tracking for Yolov5

Collections of models to train on custom data for object detection and segmentation

This is an API repo for Pirichain Blokchain.

Demonstrates various AI functionalities using Spring AI, including chat responses, JSON data handling, image creation and description, real-time data loading, text-to-speech, and vector store usage.

Angular app providing means to sift through data pertaining to federal and state .gov (and fed.us) domains.

A simple online fake REST API server

Customizable ChatGPT retrieval tool. Use your own data to enhance AI conversations.

using chat gpt to fine tune custom data model

Train Mask R-CNN for Image Segmentation

Use WebDocumentViewerOperationLogger to store, retrieve, and process custom data in the document.

Train Stable Diffusion model on your own data

OpenAI linked with custom data and REST API for questions

Generative AI custom data fine tuning with google cloud vertax ai