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PyTorch Implementation of the paper "Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model"
A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.
Image classification for early detection of diabetic retinopathy in patients. This project uses a custom ResNet18 model built from scratch using PyTorch.
PoC for prompt injection attacks on LLMs in recruitment. Tests Gemini's vulnerability to hidden instructions in synthetic CVs.
PersuadeUs is a social-persuasion game powered by Mistral AI and Hugging Face
Repositories
107No description provided.
PersuadeUs is a social-persuasion game powered by Mistral AI and Hugging Face
sample public_html folder for a basic html webpage
FixMyEnv: Package Upgrade Advisor & MCP: AI-powered assistant helps you identify and resolve outdated or vulnerable packages in your Python projects.
Minimum Viable Dataspace for Catena-X on AWS
PyTorch Implementation of the paper "Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model"
PoC for prompt injection attacks on LLMs in recruitment. Tests Gemini's vulnerability to hidden instructions in synthetic CVs.
Advent of Code 2025
Guidance on documentation, scripts and integration steps on using the EDC project results
Supplementary Materials for the The Complete dbt (Data Build Tool) Bootcamp Udemy course
My solutions to Advent of Code 2022 using Python
A playground to explore suitable anomaly detection algorithms for time series
sldt-semantic-models
No description provided.
Image classification for early detection of diabetic retinopathy in patients. This project uses a custom ResNet18 model built from scratch using PyTorch.
copy of https://gitlab.tuwien.ac.at/vsc-public/training/LLMs-on-supercomputers
Experiments with whisperX
Fine-tuning Mistral models. This is a fork of fork of modal-labs with some changes.
A NextJS demo of comparing pure vector RAG vs Graph RAG on the Synthea dataset for Open AI Academy
A recipe for building a knowledge graph and deploying a knowledge graph and vector embeddings from the Synthea dataset, leveraging OpenAI, Neo4j, and Llamaindex
Tensors and Dynamic neural networks in Python with strong GPU acceleration
No description provided.
Getting started with diffusion
advent of code 2024, help me god!
A collection of deep learning portfolio projects hosted as static jupyter notebooks with personal annotations.
Python client library for decoding VINs and querying the NHTSA Vehicle Product Information Catalog (vPIC) API
Composite Actions workflows for use in fastai projects
A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.
Code examples for “Interactive Data Visualization for the Web”
A tiny JSON server for UK postcode lookups