Pinned Repositories
appstore_visualization
Autoencoders
Black-Friday-Analysis
The dataset here is a sample of the transactions made in a retail store. The store wants to know better the customer purchase behaviour against different products. Specifically, here the problem is a regression problem where we are trying to predict the dependent variable (the amount of purchase) with the help of the information contained in the other variables.
CGAN
Fundamentals-of-Deep-Learning
From building blocks of Neural Networks to advance Deep Learning
gta5_using_pose_estimation
I've used pose estimation to play GTA 5. Leave a star if you find it cool
HAR_Android
Human Activity Recognition using Smartphone sensors
Human-Activity-Recognition
In this project there is a dataset contains values from smartphone sensors (from:- Accelerometer,Gyroscope).
Human-Activity-Recognition-on-Android
Introduction-to-Machine-Learning-with-Python
This course is for absolute beginners who have elementary knowledge of Python Programming Language. So lets get started....
developershutt's Repositories
developershutt/Human-Activity-Recognition-on-Android
developershutt/Autoencoders
developershutt/HAR_Android
Human Activity Recognition using Smartphone sensors
developershutt/Introduction-to-Machine-Learning-with-Python
This course is for absolute beginners who have elementary knowledge of Python Programming Language. So lets get started....
developershutt/CGAN
developershutt/gta5_using_pose_estimation
I've used pose estimation to play GTA 5. Leave a star if you find it cool
developershutt/Fundamentals-of-Deep-Learning
From building blocks of Neural Networks to advance Deep Learning
developershutt/GANS
developershutt/HAR_Recorder
developershutt/Human-Activity-Recognition
In this project there is a dataset contains values from smartphone sensors (from:- Accelerometer,Gyroscope).
developershutt/Transformers-in-action
developershutt/appstore_visualization
developershutt/Black-Friday-Analysis
The dataset here is a sample of the transactions made in a retail store. The store wants to know better the customer purchase behaviour against different products. Specifically, here the problem is a regression problem where we are trying to predict the dependent variable (the amount of purchase) with the help of the information contained in the other variables.
developershutt/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
developershutt/coding-interview-university
A complete computer science study plan to become a software engineer.
developershutt/DCGAN
developershutt/kale
Kubeflow’s superfood for Data Scientists
developershutt/Keras-GAN
Keras implementations of Generative Adversarial Networks.
developershutt/models
Models and examples built with TensorFlow
developershutt/monkey_classifier
A Classifier to recognize different species of monkeys. Train and test set are given
developershutt/pggan-tensorflow
A TF 2.0 implementation of Progressive growing of GANs
developershutt/Play-Store-Data-Analysis
Data Analysis, cleaning and prediction of success of apps from Google Play Store Dataset
developershutt/pneumonia_prediction
developershutt/Practice-with-Scikit-Learn-and-Tensorflow
This course is advance version of Introduction to Machine Learning in which I'm going to cover some really complex algorithms which is being used in real world. This tutorial is mixture of Scikit-Learn and Tensorflow.
developershutt/project-posenet
Human Pose Detection on EdgeTPU
developershutt/Self-Driving-car
developershutt/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
developershutt/SmartPlay
An example and application of eyes detection using Google Mobile Vision in Android Media Player.
developershutt/tensorflow
An Open Source Machine Learning Framework for Everyone
developershutt/viton-gan
Original implementation of the paper "VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss" by Shion Honda.