Easy-to-use finetuned YOLOv8 models.
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Updated
Feb 27, 2023 - HTML
Easy-to-use finetuned YOLOv8 models.
Website for the Natural Language Processing with Transformers book
A web application to summarize a given input data
Machine Learning Operations with a denoising diffusion model using a butterfly dataset
This is a Generative AI bot fine tuned to become a Professional resume writer. It used Meta's LlaMA 2 LLM with langchain. System Prompt has been changed in order to change profile of AI.
EHRM [ Electronic Health Record Management ] introduces a centralized platform for analyzing patient records, offering insights into billing amounts, demographics, prevalent diagnoses, medical conditions, consulted doctors, admission types, and medication usage.
This example repository illustrates the usage of LLMs with Quarkus by using the quarkus-langchain4j extension to build integrations with ChatGPT or Hugging Face. The code dives into simple conversations, retrieval augmented generation (RAG) and building agents.
A fast and lightweight open-source conversational chatbot
A prompt library is a collection of image prompts that can be used to generate new and interesting image.
Tutorials Power AI list and categories of Artificial Intelligence for Business
It allows users to query databases using natural language and receive results as SQL code and beautiful visualizations.
An NLP web application made with Django
👨🦰 Large Scale Active Social Engineering Defense (ASED): Multimedia and Social Engineering
Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.
A GPT-2 powered web app that generates advice in the style of world-class experts:
A penetration testing toolkit for collecting and extracting information about target organizations from publicly available text data.
Medical RAG App built using Meditron Medical LLM and PubMedBERT Embeddings
Training and deploying sentiment analysis models with deep learning using Amazon SageMaker. A BERT model was trained using distributed training with the help of Hugging Face.
This repository provides a Flask web application that harnesses the capabilities of BERT, BART, and RoBERTa models for NLP tasks on the 20 Newsgroups dataset. The application classifies articles, generates concise summaries, and answers user-posed questions.
🔬 Simple containerised whole slide image rendering in the browser
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