Ameya Shringi (as6520)

as6520

Geek Repo

Company:Kitware

Location:Clifton Park, NY

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Ameya Shringi's repositories

three-dimension-reconstruction

The project aims on creating an application that can generate 3D models of landmarks from 2D images images that are available in public datasets.

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external_arrow

Test repo to demonstrate kwiver algorithm registration using python package

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.vim

My vim related files

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caffe

Caffe: a fast open framework for deep learning.

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cmpe679

Dockerfiles for RIT CMPE 679 Deep Learning

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coco

MS COCO API - http://mscoco.org/

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datasci_course_materials

Public repository for course materials for the Data Science at Scale Specialization at Coursera

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evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

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example-get-started

Get started DVC project

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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hw3b-videos

Videos for homework3-b

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improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

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libMR

Library for Meta-Recognition and Weibull based calibration of SVM data.

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lsun

LSUN Dataset Documentation and Demo Code

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MDP_Tracking

Learning to Track: Online Multi-Object Tracking by Decision Making

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pipe-without-vital

Test repo to demonstrate the feasibility of transmitting a user defined python between two python process in KWIVER

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py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

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recurrent-batchnorm-tensorflow

An implementation of LSTM with Recurrent Batch Normalization.

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ROLO

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

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SubCNN_TF

A tensorflow implementation of SubCNN (working progress)

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TensorBox

Object detection in TensorFlow

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tensorflow

Computation using data flow graphs for scalable machine learning

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tf-dcgan

Deep Convolutional Generative Adversarial Networks, with some small improvements.

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tf-faster-rcnn

A Tensorflow Implementation of Faster RCNN

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