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Name: Sujay Jadhav
Type: User
Company: ML & Computer Vision | TU Chemnitz
Name: Sujay Jadhav
Type: User
Company: ML & Computer Vision | TU Chemnitz
Ipsum lorel et al.
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.
A curated list of awesome computer vision resources
A curated list of awesome Machine Learning frameworks, libraries and software.
Open-source simulator for autonomous driving research.
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Offline Perception processing to remove duplicate image frames.
Main model and preprocessing code
LinkedIn Learning course covering Python Unit Test with Pytest, Docker, and TDD principles
Tensorflow implementation of 'Accelerating the Super-Resolution Convolutional Neural Network'.
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
I am not bot!
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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.
Google IT Automation with Python Professional Certificate - Practice files
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 and examples built with TensorFlow
Unsupervised single image depth prediction with CNNs
Official page for the Open Labeling Format (OLF)
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.
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering."
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.