Deep Learning Basic Module built with Pytorch
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Updated
Nov 18, 2021 - Python
Deep Learning Basic Module built with Pytorch
POSTER_V2 with the additional benefit of detecting faces from the webcam and detecting the emotion in the frame
High dimensional indexing of image data using rtree, implemented to find similar images in the indexed dataset
Automation of model training and ensemble creation for making predictions in a Kaggle competition submission.
Effortless and Automated Image Classification with Comprehensive Comet ML Integration
Real-Time Person Detection with Landmark Detection and Depth Estimation
Manage datasets for both Torchvision and Keras(TFv2)
An simple image classification system for evaluating adversarial images uploaded by users
Deploying torchscript based post-quantized mobilenetv2 using flask and gunicorn
Application to train a CNN to classify flowers using pytorch and a pretrained model from torchvision and make predictions on new images.
Kaggle Challenges in Representation Learning: Facial Expression Recognition Challenge
Image classification of pet types using a convolutional neural network. Using pytorch
Deep Learning + Computer Vision project to detect hand gestures in images/video.
Classifying Flowers on the basis of their images with the help of a simple CNN 🤖
A pytorch implementation of GAN
This scripts train an image classifier to recognize 102 different species of flowers
2D Vehicle Tracker
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