Developers Hutt (developershutt)

developershutt

Geek Repo

Twitter:@developershutt

Github PK Tool:Github PK Tool

Developers Hutt's repositories

Language:Jupyter NotebookStargazers:17Issues:0Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:16Issues:0Issues:0

HAR_Android

Human Activity Recognition using Smartphone sensors

Language:JavaStargazers:9Issues:0Issues:0

Introduction-to-Machine-Learning-with-Python

This course is for absolute beginners who have elementary knowledge of Python Programming Language. So lets get started....

Language:Jupyter NotebookStargazers:7Issues:3Issues:0
Language:Jupyter NotebookStargazers:3Issues:0Issues:0

gta5_using_pose_estimation

I've used pose estimation to play GTA 5. Leave a star if you find it cool

Language:PythonStargazers:2Issues:0Issues:0

Fundamentals-of-Deep-Learning

From building blocks of Neural Networks to advance Deep Learning

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

Human-Activity-Recognition

In this project there is a dataset contains values from smartphone sensors (from:- Accelerometer,Gyroscope).

Language:Jupyter NotebookStargazers:1Issues:0Issues:0
Language:Jupyter NotebookStargazers:1Issues:1Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

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.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

AdversarialNetsPapers

The classical paper list with code about generative adversarial nets

Stargazers:0Issues:0Issues:0

coding-interview-university

A complete computer science study plan to become a software engineer.

License:CC-BY-SA-4.0Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:JavaStargazers:0Issues:0Issues:0

kale

Kubeflow’s superfood for Data Scientists

License:Apache-2.0Stargazers:0Issues:0Issues:0

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

models

Models and examples built with TensorFlow

License:Apache-2.0Stargazers:0Issues:0Issues:0

monkey_classifier

A Classifier to recognize different species of monkeys. Train and test set are given

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

pggan-tensorflow

A TF 2.0 implementation of Progressive growing of GANs

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Play-Store-Data-Analysis

Data Analysis, cleaning and prediction of success of apps from Google Play Store Dataset

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

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.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

project-posenet

Human Pose Detection on EdgeTPU

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

License:NOASSERTIONStargazers:0Issues:0Issues:0

SmartPlay

An example and application of eyes detection using Google Mobile Vision in Android Media Player.

Language:JavaStargazers:0Issues:0Issues:0

tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++License:Apache-2.0Stargazers:0Issues:0Issues:0

viton-gan

Original implementation of the paper "VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss" by Shion Honda.

License:MITStargazers:0Issues:0Issues:0