Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. Deep learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech analysis, natural language processing, reinforcement learning, etc.
This repository contains the list of deep learning projects. You can find the individual repository of each project through the link given below.
- Multi-Modal Visual-RAG system to search and reason about gallery data, using VLMs
- Image Inpainting using a U-Net model with a fused ConvMixer encoder
- Different Descriptors for Squeeze and Excitation Attention Block
- Background Remover Tool using Semantic Segmentation
- Medical image denoising using Convolutional Denoising Autoencoders(CAE).
- Image similarity measure through Siamese network on fashion apparels.
- Plant Pathology Challenge-2021
- Face Mask Detection
- Pneumonia Prediction
- Human Emotion Detection