This repository demonstrates the process of fine-tuning LLAVA for various tasks, including data parsing and extracting JSON information from images.

Faceprecision is a comprehensive face analysis project leveraging advanced deep learning and computer vision techniques. This project includes a modules and source codes for detecting and analyzing…

Create dummy RTSP streams from video files.

A short tutorial to executing parallel tasks in Google Colab

This is the installation, training and validating guide for the "Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks", TPAMI-2019.

An installation of EfficientDerain network in the paper "EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining" (https://arxiv.org/abs/2009.09238)

Simple implementation of CapsNet in Tensorflow 2.0

This Python script generates a synthetic dataset of traffic sign images in COCO format, intended for training and testing object detection models. The dataset includes various traffic sign overlays…

Just an example of using YOLOv8 for car detection

An Uncertainty Sampling Active Learning Example

Example implementation of Grad-CAM

An installation, training and validating guide for RCDNet in the paper "A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020)"

An installation of Deep Detail Network single-image deraining in the paper "Removing rain from single images via a deep detail network" (CVPR-2017)

Implement Transformer from scratch with PyTorch for Spanish2English translation task.

Basic Vision Transformer implementation from Scratch and Fine-tuning pretrained ViT using Tensorflow 2.0 Keras.

Create a custom model for training autonomous donkeycar.

Add rain effect to normal images data, train Keras autoencoder model for removing rain from images.

An installation of DerainNet (Clear) single-image deraining in the paper "Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal" (TIP-2017)