Anuj Dutt (anujdutt9)

anujdutt9

Geek Repo

Location:Cupertino, CA

Home Page:https://anujdutt9.github.io

Twitter:@anujdutt92

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Anuj Dutt's repositories

Feature-Selection-for-Machine-Learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

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Handwritten-Digit-Recognition-using-Deep-Learning

Handwritten Digit Recognition using Machine Learning and Deep Learning

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Disease-Prediction-from-Symptoms

Disease Prediction based on Symptoms.

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Hackerrank

Solution to Questions at Hackerrank.com

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PyTorch-DeepLearning

Deep Learning Tutorials using PyTorch.

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Encrypted-Machine-Learning

Exploration and Projects using Encrypted Machine Learning.

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Javascript-Machine-Learning

Machine Learning using Javascript.

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Android-Machine-Learning

Android Machine Learning using TF-Mobile and TF-Lite.

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anujdutt9.github.io

My Blog on ML, DL, NLP, Image Processing and a lot more.

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Deep-Learning-TF-2.0

ML and DL Projects and Papers Implementations using TF-2.0.

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ESPCN

Paper Implementation - "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network".

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LeetCode

Solutions to Problems at LeetCode.com

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Reinforcement_Learning

Reinforcement Learning using Numpy and PyTorch.

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Decentralized-Applications

Decentralized Applications using Solidity on Etherium Blockchain.

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DeepRender-Hardware-Test

DeepRender Hardware Test for deploying Lossless Image Compression model on iOS using CoreML.

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Flutter-Development

Flutter Development using Dart.

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GDL_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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iOS-MachineLearning

Machine Learning iOS applications.

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Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

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SqueezeNet-PyTorch

Paper Implementation - "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size".

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TensorFlow-Advanced-Techniques-Specilaization-in-PyTorch

Porting all code examples and assignments in TensorFlow Advanced Specialization to PyTorch.

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