• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Jupyter Notebook
  • Created over 7 years ago
  • Updated over 7 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This is the implementation of Highway version of Deep convolutional network, based on https://arxiv.org/pdf/1505.00387.pdf.

More Repositories

1

speech-recognition-neural-network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
HTML
186
star
2

chatbot-startkit

This repository holds files for the simple chatbot wrote in TensorFlow 1.4, with attention mechanism and bucketing.
Python
59
star
3

tesla-stocks-prediction

The implementation of LSTM in TensorFlow used for the stock prediction.
Jupyter Notebook
58
star
4

image-search-engine

End-to-end image search engine based on the Deep learning techniques.
Jupyter Notebook
44
star
5

clustering-python

Different clustering approaches applied on different problemsets
Jupyter Notebook
39
star
6

cnn-raccoon

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
Python
31
star
7

cnn-lstm-network

Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.
Jupyter Notebook
26
star
8

ml_tutor

Machine Learning Tutor Python library
Python
23
star
9

search-book-by-cover-server

This is the main repository for the Book Search project. This engine allows you to search database of books by simply uploading an image of a cover.
Python
20
star
10

dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.
Jupyter Notebook
19
star
11

breast-cancer-classification

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.
Jupyter Notebook
17
star
12

regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
Jupyter Notebook
15
star
13

Speech-commands-recognition

Recognizing common speech commands using Keras and Tensorflow.
Python
11
star
14

fully-connected-nn

The fully connected neural network implemented in Numpy, from scratch, in Tensorflow and in Keras. The bonus code: Implementation of many different activation functions, in python, weight inits.
Jupyter Notebook
10
star
15

ads-strategy-reinforcement-learning

The example of using reinforcement learning algorithms in the business, specifically finding what ads to use in our campaign.
Jupyter Notebook
7
star
16

pixelrnn

Implementation of a, simple, recurrent neural network used for a image classification.
Jupyter Notebook
7
star
17

rnn-from-scratch

Simple recurrent neural network for text generation. Based on https://gist.github.com/karpathy/d4dee566867f8291f086
Python
7
star
18

residual-network

The implementation of ResNet using Tensorflow. This implementation is based on this paper: https://arxiv.org/pdf/1603.05027.pdf
Jupyter Notebook
5
star
19

generative-adversarial-network

This is the implementation of simple GAN using TensorFlow as a framwork.
Jupyter Notebook
4
star
20

movie-recommender-pandas

This is movie recommendation system with pandas back-end. There are a few things you can do with it. Search for movie, find movie what to watch based on genre and when you have watched a movie to find other movies similar to it.
Python
4
star
21

fully-connected-highway-network

The imeplementation of Fully Connected Highway network using TensorFlow. The imeplementation is based on this paper: https://arxiv.org/pdf/1505.00387.pdf
Jupyter Notebook
3
star
22

classification-python

This repository contains projects done by some of classification techniques. Python.
Jupyter Notebook
3
star
23

ai-course-for-executives

Python
3
star
24

search-book-by-cover-android-app

This is the main repository for the Book Search Android front-end part of the project. This engine allows you to search database of books by simply uploading an image of a cover.
Java
3
star
25

dsgo-flask-churn

DSGo Virtual Flask deployment
Jupyter Notebook
2
star
26

dsgo-streamlit

DataScience Go Virtual conference - Building data applications (Streamlit version)
Python
2
star
27

PyTorch-tutorials

This repository contains different models implemented using PyTorch.
Jupyter Notebook
2
star
28

cnn-tensorflow-keras

Implementation of simple Convolutional Neural Network in TensorFlow and Keras. The dataset used is MNIST.
Jupyter Notebook
2
star
29

matchbox-intro-to-ml

This repository contains all source files for the Introduction to practical ML course organized with MatchBox
2
star
30

sentiment-analysis

In this mini-project I have implemented LSTM network to classify movie reviews for sentiment analysis task.
Jupyter Notebook
2
star
31

air-cargo-planning-ai

The air cargo problem is one of many problems that we can easily solve using AI. Particularly here we are solving this problem using planning techniques from AI domain. This is a project from Artificial Intelligence Nanodegree @Udacity.
Python
2
star
32

Isolation-AI-agent

This is the second project for Artificial Intelligence Nanodegree @Udacity . This is the game Isolation playing agent.
Python
1
star
33

python-training

Jupyter Notebook
1
star
34

simulated-annealing

One of many projects done in Artificial Intelligence Nanodegree @Udacity. This project was to use Simulated Annealing algorithm to solve Traveling salesman problem.
Jupyter Notebook
1
star
35

autoencoders-tensorflow

Different versions and their implementations of Autoencoders using Tensorflow.
Jupyter Notebook
1
star
36

pacman-AI

This is the Pacman AI agent implemented as a search problem with DFS, UCS, BFS, A* with different heuristic functions. This project was a part of Artificial Intelligence Nanodegree @Udacity.
Python
1
star
37

rnn-sherlock-holmes-book

This project is a part of AIND @Udacity. Here the RNN (Recurrent neural network) is used to generate text. The RNN is implemented using Keras.
HTML
1
star