Reading Wikipedia to Answer Open-Domain Questions
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Updated
Nov 10, 2017 - Python
Reading Wikipedia to Answer Open-Domain Questions
Dogs & Cats Kaggle challenge
Includes networks used for room classification developed for a homework in the Deparment of Computer Engineering, Hacettepe University.
Notebook on finetuning BERT
all the sources are in this repository for participating in korquad finetuning contest
Malignant lymphoma is a cancer affecting lymph nodes. Three types of malignant lymphoma are represented in the set: CLL (chronic lymphocytic leukemia); FL (follicular lymphoma); MCL (mantle cell lymphoma).
Anime Character Segmentation
Flextuning, WACV 2020
GPT2 finetuning with transformers 🤗
An overview of German transformer models related to language modeling in the field of Natural Language Processing.
This repository contains tutorials about finetuning pretrained Pytorch models
Classifying polish coins by their closeup photos. Transfer learning using xception finetunning on small dataset.
Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.
Team NiceBoat Submission for DSTA TIL 2020 (machine vision + robotics)
Code for reproducing the paper Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction to appear at The 7th Workshop on Noisy User-generated Text (W-NUT) organized at EMNLP 2021.
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
Developing a application and/or website for snore detection using DeepLearning
A modified script to generate questions from each paragraph of a text.
With the help of this repo you can build image search algorithm on your image dataset.
Malaria detection using Deep Learning. CNN, VGG-19 and ResNet50.
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