Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Medical Image Segmentation with Diffusion Model

Model-based super-resolution of medical images in PyTorch.

Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

Demos, examples and utilities using PyMuPDF

A PyTorch framework for medical image segmentation

Minimal keyword extraction with BERT

A list of free LLM inference resources accessible via API.

LinkedIn scraper to retrieve and store a live stream of job postings

A knowledge graph RAG app using LangChain and Neo4j.

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

RAG-Chat App Hackathon | Enhancing Historical Research with RAG Chatbots & Learning Resources for RAG

Family of LLMs for mathematical reasoning.

HackTogether: The Microsoft Python Chatbot Hack | Register, Hack, Win

Unsupervised machine learning techniques for detecting anomalies in LASP spacecraft telemetry

CTU13 CSV Dataset contains Botnet, Normal and Background traffic

Code for intrusion detection system (IDS) development using CNN models and transfer learning

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

For the full documentation, see https://efc-package.readthedocs.io/en/latest/

pytorch implementation of Domain-Adversarial Training of Neural Networks

Code for our submission to IEEE CNS 2022

Code for our submission to the WTMC 2021 workshop

✨✨Latest Advances on Multimodal Large Language Models

A PyTorch implementation of of Anomal-E.

Lab files for AI-102 - AI Engineer

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

A game theoretic approach to explain the output of any machine learning model.