Pytorch photo AI enhancer server
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Updated
Jul 18, 2024 - Python
Pytorch photo AI enhancer server
Neural network framework for volatility surface approximation and calibration. Supports rough Heston/Bergomi, random grids, multi-regime architectures.
MongeNet sampler official implementation
Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.
Open source style transfer project, based on VGG19
Open source style Deep Dream project
Simple Multi-Language HTTP Server Text Toxicity Detector
A custom Backtrader indicator that integrates a pre-trained Hugging Face Time Series Transformer model for price prediction. Includes a sample strategy, data, and the ML model.
The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.
Radio-Analyzer is an application designed to transcribe, translate, and analyze intercepted Russian radio communication from Ukraine, providing insights into communication patterns and content.
Face Mood Analyzer is an AI application that detects emotions in photos and creates music based on those emotions. 🎶 It features a user-friendly web interface and supports real-time processing for multiple images. 💻
GENERATION OF AUTONOMOUS HTML PAGES BY DEEP LEARNING FROM HAND-DRAWN HTML FORM PAGES
This repository refers to my master's thesis in the Data Science at Sapienza University. The objective is to build a model in order to perform the task of 3D fragment matching. Given two 3D scans of fragments, the model must predict whether they are adjacent or not.
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Coronary Artery segmentation in CT angiography (CTCA), integrating centerline priors to enhance anatomical accuracy.
The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.
AI-driven robotic system using YOLOv5 for real-time biomedical waste detection and automated segregation, developed as part of a patented research project.
CheXpert-based chest X-ray multi-label classification PoC with DenseNet121, AUROC/AUPRC evaluation, threshold tuning, and Grad-CAM visualization.
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