PyTorch-Lightning Library for Neural News Recommendation
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Updated
Jun 6, 2025 - Python
PyTorch-Lightning Library for Neural News Recommendation
Build confidence in your AI with systematic slice-based testing
Extentions of TorchMetrics
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
TorchMetrics-based evaluation metrics for robotics policies and robot learning
Application of Recommendation Systems in Educational Environments
My video classification learning journey using various ML models (BiLSTM, Transformers, ST-GCN) with mediapipe, opencv, torchmetrics, and W&B
repo for training and experiments with skin-cancer dataset from kaggle
Fashion Forward: AI-Driven Garment Classification
Python Open-Source Ai/ML modeling pipline. Implementations using PyTorch, PyTorch Lightning, Scikit-Learn.
This repository contains a job screening task assigned for the Earth Observation (July 2025)
Detecting Brain Tumors using the ResNET Architecture
Semantic segmentation of satellite and aerial imagery for land cover classification using U-Net + ResNet-50. Trained on DeepGlobe (7 classes, mIoU 0.637) and LandCover.ai (4 classes, mIoU 0.798). Includes interactive Gradio demo with confidence-based OOD detection and class distribution visualization.
Предсказание коэффициента восстановления золота из золотодобывающей руды
A multiclass image classification project built with PyTorch to classify images from the Fashion-MNIST dataset.
Usage of DDPM. Based on the materials from the official tutorial by LearnOpenCV: https://github.com/spmallick/learnopencv/tree/master/Guide-to-training-DDPMs-from-Scratch
CNN Classifier for the CIFAR-10 dataset
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