Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
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Updated
Nov 7, 2018 - Python
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
This is a pytorch version of mobilenet implemented by Jupyter Notebook, the dataset consists of imagenet dataset and custom dataset.
Using Keras MobileNet-v2 model with your custom images dataset
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.
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
Angular app providing means to sift through data pertaining to federal and state .gov (and fed.us) domains.
The project aims to showcase the process of fine-tuning LLMs on industry-specific data. The provided notebook (FinetuneOpenSourceLLMs.ipynb) walks through the steps, utilizing Amazon's sales data (ConvAI_Data.csv).
Free trial pack of a professional conversational AI voice dataset. 24-bit Mono WAV, LJ Speech standard compliant. Designed for TTS and voice cloning evaluation.
Customizable ChatGPT retrieval tool. Use your own data to enhance AI conversations.
Generative AI custom data fine tuning with google cloud vertax ai
Collections of models to train on custom data for object detection and segmentation
using chat gpt to fine tune custom data model
This is an API repo for Pirichain Blokchain.
Use WebDocumentViewerOperationLogger to store, retrieve, and process custom data in the document.
Train Stable Diffusion model on your own data
A premium B2B speech dataset featuring 100 high-energy, single-word vocal expressions for gamified UIs, conversational AI, and game development. Studio-grade WAV files calibrated to -23 LUFS with a -1.0 dB True Peak ceiling. Full CSV metadata maps included. Commercial license available.
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