inhyek Goto Github PK

3d-shape-classification

Classifcation of volumetric shapes using Deep Neural Networks

autoencoder-tensorboard-t-sne

Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

cam

Class Activation Mapping

clustering-on-the-mnist-data

Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset

coco-labels

The labels for object categories in COCO dataset

colorbot

A neural network color bot that uses machine learning (artificial intelligence) to categorize pictures as red, green, or blue overall. Uses node.js and mongodb.

cs231n_17_kor_sub

CS231N 2017 video subtitles translation project for Korean Computer Science students

deep-clustering

A Convolutional Neural Network based model for Unsupervised Learning

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

dog-breed-classifier

Udacity (Project 2) Dog Breed Classifier with PyTorch.

dog-breed-classifier-1

I built a CNN that can classify dog breeds

dog-breed-classifier-2

dog-breeds-classification

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

dominantcolor

Finding dominant colors of an image using k-means clustering

friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

gan-tutorial

Very Simple Implementation of GAN, DCGAN, CGAN, WGAN, infoGAN and etc. with pyTorch for only MNIST.

grad-cam

[ICCV 2017] Torch code for Grad-CAM

grad_cam_plus_plus

A generalized gradient-based CNN visualization technique

hdbscan

A high performance implementation of HDBSCAN clustering.

hyo_insta

hyo

image-similarity-clustering

This project allows images to be automatically grouped into like clusters using a combination of machine learning techniques.

imgcluster

Image clustering using the similarity algorithms: SIFT, SSIM, CW-SSIM, MSE

inhyek.github.io

Build a Jekyll blog in minutes, without touching the command line.

instagram-crawler

Get Instagram posts/profile/hashtag data without using Instagram API

instagram-crawler-1

Non API. Crawling post (photo, likes, comments, date ...) by username, hashtags

instagram_crawler_revised