Transformer-based VQA system capable of generating unconstrained, open-ended answers based on OpenAI's GPT-2 117M
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Updated
Mar 15, 2022 - Python
Transformer-based VQA system capable of generating unconstrained, open-ended answers based on OpenAI's GPT-2 117M
This repository contains the code and reports for the course INFR11132 Machine Learning Practical. Overall Mark Achieved - 75%
Train your own picture data easily
Multi class Deep learning model
Using VGG and Transfer Learning in Keras
This is the same one as before, but I use deep learning
Different CNN architecture like LeNet, AlexNet,VGGNet,Inception,Resnet is included in this repo
Covid-19 Detection with the help of X-ray scans
pytorch Implementation of deep learning models
Developers of all skill levels get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.
Building and experimenting with architectures like VGG, ResNet and AlexNet to understand their efficiencies in classifying dog breeds(AWS Nanodegree Project)
A comprehensive study evaluating 10 CNN image classification models for optimal performance in medical image recognition.
A simple model for Identification of nailong based on deep learning
Deep image classification tool based on Keras. Tool implements light versions of VGG, ResNet and InceptionV3 for small images
This is my attempt to use a convolutional neural network multi-output model that classifies images of people based on their ethnicity and gender, and predicts their age.
This repository is based on the lecture '딥러닝 기반의 영상 인식 모델 구현'
This repository features our Work-In-Progress ASl fingerspelling hand pose recognition pipeline. Our formal repo is at mutual-ProjectLink.
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