Chaithanya Kumar A (chaithanya21)

chaithanya21

Geek Repo

Company:@Stylumia

Location:Bangalore

Home Page:https://www.linkedin.com/in/chaithanya-kumar-610a91167/

Twitter:@Cosmos98c

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Chaithanya Kumar A's repositories

Searching-for-Exotic-Particles-in-High-Energy-Physics-Using-Machine-Learning

Collisions at high-energy particle colliders are a traditionally fruitful source of exotic particle discoveries. Finding these rare particles requires solving difficult signal-versus-background classification problems, hence machine-learning approaches are often used.

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Deep-Learning-V1

This Repository contains all the work Related to Deep Learning: Research Papers, Personal Deep Learning Projects , Work Related to Udacity Deep Learning NanoDegree Program etc. This Repo will be updated Regularly on daily basis

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Disaster-Response

This project is all about analysing disaster data from Figure Eight to build a model for an API that classifies disaster messages.

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Dog-Breed-Classification-App

This Project is all about building a DL pipeline to process the real world, user-supplied Images. Given an image of a dog the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.

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Dog-Breed-Classification-TF

This Project is all about building a Deep Learning Pipe Line to process the real world , user supplied Images. Given an Image of a dog the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.(TensorFlow Version)

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Image-Caption-Generator

Image Caption Generator project focuses on creating a Neural Network architecture to automatically generate captions from images.

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Instant-Image-segmentation-Using-Mask-RCNN-and-Facebook-AIs-Detectron-2-API

Instant Image Segmentation using state of the art Deep Learning Architecture Mask RCNN and FaceBook AI Research Detectron-2 API On a Custom Dataset

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SLAM

Simultaneous Localisation and Mapping(SLAM) is a Project to locate a Robot and create a Map around it for 2 Dimensional World

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awesome-actions

A curated list of awesome actions to use on GitHub

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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caffe

Caffe: a fast open framework for deep learning.

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chaithanya-me

all things me :)

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CRISP-DM

An Example of Cross Industry Process for Data Mining

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CRISP-DM-On-Seattle-Airbnb-Dataset

Since 2008, guests and hosts have used Airbnb to travel in a more unique, personalized way. As part of the Airbnb Inside initiative, this dataset describes the listing activity of homestays in Seattle, WA. Content

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darknet

Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

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DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

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Facial-key-point-detection

This project will be all about defining and training a convolutional neural network to perform facial keypoint detection, and using computer vision techniques to transform images of faces.

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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Generate-Faces

This Project is all about defining and training a DCGAN on a dataset of faces. The goal of the project is to get a generator network to generate new images of faces that look as realistic as possible!

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graduation

$ git remote <graduation> yearbook

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great_expectations

Always know what to expect from your data.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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Predicting-Bike-Sharing-Patterns

Building and Training a Artificial Neural Network(ANN) From Scratch To Predict The Number Of BikeShare Users On a Given Day.

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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Yolo-Object-detection

Object Detection On a Car Detection Dataset and Dealing with Bounding Boxes

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