Pretrained models on CIFAR10/100 in PyTorch

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Code and notebook for text summarization with BERT along with a simple baseline model. Includes a research-backed treatment on the state of transfer learning, pretrained models, NLP metrics, and summarization dataset resources.

Exploring pretrained Word2Vec for analysis of Metadata Keywords

This notebook is my attempt at predicting ages of children from the X-Ray images of their hands.

This repository contains Jupyter notebooks detailing the experiments conducted in our research paper on Ukrainian news classification. We introduce a framework for simple classification dataset creation with minimal labeling effort, and further compare several pretrained models for the Ukrainian language.

This repository demonstrates how to use a pretrained YOLOv11 model from the Ultralytics library for image-based object detection.

🔍 Use a pretrained YOLOv11 model for efficient image object detection, enabling quick comparison of original images and model outputs.

In this notebook, we want to recognize the objects in the image using pre-trained models. The used models are fasterRCNN, RetinaNet, SSD and FCOS. The code is programmed in Python language and uses PyTorch and TorchVision library.

Python implementation of a simple image querying system demonstrated across two Jupyter notebooks. It is designed to allow users to search for images based on visual similarity.