Varun Ravi Kumar (rvarun7777)

rvarun7777

Geek Repo

Company:Staff Engineer, Qualcomm

Location:San Diego

Home Page:www.linkedin.com/in/rvarun7777

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Varun Ravi Kumar's repositories

Deep_Learning

added all materials

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Coursera-Certificates

The repository contains all the completed Coursera course certificates.

LeetCode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

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Awesome-BEV-Perception-Multi-Cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

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robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

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Tensorflow-wheels

Tensorflow GPU wheel package

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WoodScape

The repository containing tools and information about the WoodScape dataset.

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ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

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aptsources-cleanup

Detects and interactively deactivates duplicate Apt source entries and deletes sources list files without valid enabled source entries (as requested in https://askubuntu.com/a/762815/175814).

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clementpinard

Profile README

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GeoNet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

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kalibr

The Kalibr calibration toolbox

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KP3D

Code for "Self-Supervised 3D Keypoint Learning for Ego-motion Estimation"

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LibMTL

A PyTorch Library for Multi-Task Learning

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models

Models and examples built with TensorFlow

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monodepth

Unsupervised single image depth prediction with CNNs

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nerd-fonts

:abcd: Iconic font aggregator, collection, and patcher. 40+ patched fonts, over 3,600 glyph/icons, includes popular collections such as Font Awesome & fonts such as Hack

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onnx

Open standard for machine learning interoperability

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packnet-sfm

TRI-ML Monocular Depth Estimation Repository

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retained_undistort_image

Sourcecode to produce undistorted image in which all source image pixels are retained. Two methods are implemented (1) using cv::initUndistortRectifyMap and cv::getOptimalNewCameraMatrix, (2) using the reverse distortion technique with cv::remap to produce the undistorted image.

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spatial-transformer-tensorflow

🌐Tensorflow Implementation of Spatial Transformer Networks

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visgeom

Visual geometry and camera calibration C++ framework

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