Pytorch implementation of image captioning using transformer-based model.
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Updated
Apr 3, 2023 - Jupyter Notebook
Pytorch implementation of image captioning using transformer-based model.
Fine-tuned the pre-trained BERT model on the IMDB movie reviews dataset for sentiment analysis.
👨🎨 DDPM, and High-Resolution Image Synthesis with Latent Diffusion Models, papers implementation from scratch using pytorch.
Customer food reviews Sentiment Analysis
This project employs CNN and transformer models for semantic segmentation of building damage in Mexico City's 2017 earthquake, using annotated imagery to identify features like cracks and exposed rebar.
Fine-tuning a pre-trained transformer model on IMDB reviews dataset for sentiment analysis
This project offers a deeper exploration of tttzof351's "Simple Transformer TTS" codebase, enhanced with insights from Gemini Advanced, Google AI's language model.
QA app which uses Wikipedia articles to answer your questions
Implementation of a few different transformer architectures, using PyTorch
Applying different ML & Neural Network algorithms to analyze MBTI Dataset.
Transformer Network Application with Named Entity Recognition and Question Answering on Hugging Face dataset.
The Performer model for Transformer networks.
Development of a question answering system for the university software Agnes.
A pretrained model Xception to classify skin disease with high accuracy which is 99.33%. This code is used in research work which is published in one of the IEEE conferences.
A finetuned AI model that can generate GraphQL queries from natural language questions.
Deep Learning Models for Computer Vision from scratch.
Similarity embeddings for Twitter data
Text classification using varion NLP and DL models
Offered by deeplearning.ai via Coursera. The course is taught by Younes Bensouda Mourri, Łukasz Kaiser, and Eddy Shyu.
Extended Computer Vision Deep Learning based repo
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