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Lucky Srivastava's Projects

auto_video_label icon auto_video_label

Data is a huge factor in deep learning algorithms. The larger our data size, the better our model can generalize and learn. However, data preparation is a very laborious and time-consuming process. That's why I wanted to develop an application that I thought would make this stage easier. By using image processing techniques, it can track an object of your choice to a certain extent and saves the image and .txt file to the folder during tracking. Currently, it only works for one class and you can only label one object.

car-damage-assessment icon car-damage-assessment

Computer Vision and Deep Learning techniques to accurately classify vehicle damage to facilitate claims triage by training convolution neural networks

car-damage-detector icon car-damage-detector

Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.

car-damage-detector2 icon car-damage-detector2

Code example demonstrating how to detect damage intensity of a damaged car using deep learning

crnn-lid icon crnn-lid

Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks

deep3dfacereconstruction icon deep3dfacereconstruction

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

deepprivacy icon deepprivacy

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

deeprec icon deeprec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepvoice3_pytorch icon deepvoice3_pytorch

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

fp_growth icon fp_growth

A detailed proje t on the implementation of extended frequent pattern growth based on Association Rule Mining.

geacc-models icon geacc-models

Geacc is a pre-trained model for classifying images which are suitable for general audiences with a particular focus on children.

joyfest-website icon joyfest-website

This repository contains everything related to Joy Fest website.It uses front end technologies like HTML5,CSS,Jquery,Javascript,AJAX,Bootstrap Framework & back end technologies like PHP & MySQL .Joy Fest is a national movement where students do acts of giving, and get together as one for the underprivileged.Colleges students, teachers, principals, and NGOs come together for a noble cause. 500,000 students will be part of the Largest Youth Movement. Volunteers in 20 cities and 500 colleges!

kinetics-i3d icon kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

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