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ads-strategy-reinforcement-learning

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

ai-course-for-executives

aidungeon

Infinite AI adventures await!

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.

amazon-alexa-history-facts-skill

The Amazon Alexa skill which provides the fact about AI from the requested year. This was VUI project inside Artificial Intelligence Nanodegree @Udacity.

asl-recognition-system

The artificial intelligence application for recognizing American Sign Language signs and 'translating' them into English. The underlying technique is Hidden Markov Model. This project is a part of Artificial Intelligence Nanodegree @Udacity.

autoencoders-tensorflow

Different versions and their implementations of Autoencoders using Tensorflow.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

best-readme-template

An awesome README template to jumpstart your projects!

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.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

chatbot-startkit

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

classification-python

This repository contains projects done by some of classification techniques. Python.

clustering-python

Different clustering approaches applied on different problemsets

cnn-lstm-network

Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.

cnn-raccoon

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

cnn-tensorflow-keras

Implementation of simple Convolutional Neural Network in TensorFlow and Keras. The dataset used is MNIST.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cw-lab-lambda

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.

deep-convolutional-highway-network

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

demo-pm

dog-application

The dog application is the part of @Udacity Artificial Intelligence Nanodegree. Here I am implementing CNN in Keras to classify dog breeds.

dsgo-flask-churn

DSGo Virtual Flask deployment

dsgo-streamlit

DataScience Go Virtual conference - Building data applications (Streamlit version)

ec2-docker-sm-app

flashlight

A C++ standalone library for machine learning

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

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.

generative-adversarial-network

This is the implementation of simple GAN using TensorFlow as a framwork.