lucko515/tesla-stocks-prediction

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lucko515/tesla-stocks-prediction

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The implementation of LSTM in TensorFlow used for the stock prediction.

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.

chatbot-startkit

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

image-search-engine

End-to-end image search engine based on the Deep learning techniques.

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clustering-python

Different clustering approaches applied on different problemsets

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cnn-raccoon

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

cnn-lstm-network

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

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ml_tutor

Machine Learning Tutor Python library

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.

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.

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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.

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regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

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Speech-commands-recognition

Recognizing common speech commands using Keras and Tensorflow.

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.

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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.

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pixelrnn

Implementation of a, simple, recurrent neural network used for a image classification.

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rnn-from-scratch

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

residual-network

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

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deep-convolutional-highway-network

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

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generative-adversarial-network

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

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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.

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

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classification-python

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

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ai-course-for-executives

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.

dsgo-flask-churn

DSGo Virtual Flask deployment

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dsgo-streamlit

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

PyTorch-tutorials

This repository contains different models implemented using PyTorch.

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cnn-tensorflow-keras

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

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matchbox-intro-to-ml

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

sentiment-analysis

In this mini-project I have implemented LSTM network to classify movie reviews for sentiment analysis task.

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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.

Isolation-AI-agent

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

python-training

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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.

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autoencoders-tensorflow

Different versions and their implementations of Autoencoders using Tensorflow.

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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.

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.