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Hi there šŸ‘‹

šŸ”­ Iā€™m a PhD student in autonomous machine perception for heavy duty machinery in Autonomous Mobile Machines Group at (Automation Technology and Mechanical Engineering),Tampere University, Finland. Before that I was a Consultant Data Scientist at Clear Image AI.

šŸ’¬ Ask me about deep learning, automotive radar, sensor fusion, mobile robotics, computer vision, python.

šŸ“« How to reach me:

Portfolio: https://pkr-space.web.app

Work Email: [email protected]

Google Scholar: https://scholar.google.com/citations?user=QHhcXZIAAAAJ&hl=en

Prashant Kumar Rai's Projects

amc icon amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

avalanche icon avalanche

Avalanche: a End-to-End Library for Continual Learning.

basnet icon basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

blenderproc icon blenderproc

A procedural blender pipeline to generate images for deep learning

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

canet icon canet

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

cifar10cnnflask icon cifar10cnnflask

Building a convolutional neural network (CNN/ConvNet) using TensorFlow NN (tf.nn) module. The CNN model architecture is created and trained using the CIFAR10 dataset. The model is accessed using HTTP by creating a Web application using Python and Flask.

clicr icon clicr

Machine reading comprehension on clinical case reports

complexpytorch icon complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

cvnn icon cvnn

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

d2l-en icon d2l-en

Dive into Deep Learning (CV chapters coming soon)

dali icon dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

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