A text diffusion model based on DDPM operating in embedding space, generating coherent sequences by denoising continuous latent representations instead of discrete tokens.
-
Updated
May 5, 2026 - Python
A text diffusion model based on DDPM operating in embedding space, generating coherent sequences by denoising continuous latent representations instead of discrete tokens.
Computer vision system for tyre defect detection — MobileNetV2, 89.6% accuracy, Streamlit dashboard
Application to train a CNN to classify flowers using pytorch and a pretrained model from torchvision and make predictions on new images.
PPO-GNN framework for stochastic fuel delivery optimization. Achieves 1.9% optimality gap with 40× speedup vs exact solvers.
Task to create a model that can automatically segment the stomach and intestines on MRI scans.
An object detection application built with Python and PyTorch using YOLOv5 to identify items, calculate confidence scores, and save labeled visual outputs.
This project explores multimodal AI for content creators, combining audio and video streams to automatically classify events and provide intelligent insights.
some practise codes on machine learning and courses assignments
Add a description, image, and links to the pytorc topic page so that developers can more easily learn about it.
To associate your repository with the pytorc topic, visit your repo's landing page and select "manage topics."