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Sujay Jadhav's Projects

advanced-computer-vision-mytasks icon advanced-computer-vision-mytasks

This repository sums up my major computer vision tasks I have studied and implemented as a part of my Coursera 'Advanced Computer Vision using Tensorflow' course. It drags in the meticulous work on feature extraction (especially on Image data) using Keras libraries and customized subclassing of the Keras-classes.

carla icon carla

Open-source simulator for autonomous driving research.

cartography icon cartography

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

cocoapi icon cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

deduplicate icon deduplicate

Offline Perception processing to remove duplicate image frames.

fsrcnn_tensorflow icon fsrcnn_tensorflow

Tensorflow implementation of 'Accelerating the Super-Resolution Convolutional Neural Network'.

gcp-professional-services icon gcp-professional-services

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

hf_transformers icon hf_transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

image-denoising icon image-denoising

My research work with a proof of concept for Image Restoration of motion-blurred images in Real-time using data augmentation and specific architecture of Deep Autoencoder network (inspired from U-Net model) with CNN layers. (Studied extensive use of functional APIs for custom layers, loss, and metrics, effects of regularization & Hyperparams optimization), IDE/ Frameworks/ Libraries used: [Google Colab, TensorFlow, Keras, Scikit-learn, and OpenCV among others. others.

mlandaimathutils icon mlandaimathutils

Reusable implementations for basic math utilities for machine learning and python.Performed Image super-resolution techniques from pre-trained Deep NN architecture like EDSR, WDSR, FSRCNN, SRGAN among others, using OpenCV and Tf.Keras libraries.

models icon models

Models and examples built with TensorFlow

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

sequence-models icon sequence-models

Discovered recurrent neural networks, a type of model that performs extremely well on temporal data, and several of its variants, including LSTMs, GRUs and Bidirectional RNNs.

vqa-outliers icon vqa-outliers

Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering."

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