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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.tesla-stocks-prediction
The implementation of LSTM in TensorFlow used for the stock prediction.image-search-engine
End-to-end image search engine based on the Deep learning techniques.clustering-python
Different clustering approaches applied on different problemsetscnn-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.ml_tutor
Machine Learning Tutor Python librarysearch-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.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.regression-python
In this repository you can find many different, small, projects which demonstrate regression techniques using python programming languageSpeech-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.ads-strategy-reinforcement-learning
The example of using reinforcement learning algorithms in the business, specifically finding what ads to use in our campaign.pixelrnn
Implementation of a, simple, recurrent neural network used for a image classification.rnn-from-scratch
Simple recurrent neural network for text generation. Based on https://gist.github.com/karpathy/d4dee566867f8291f086residual-network
The implementation of ResNet using Tensorflow. This implementation is based on this paper: https://arxiv.org/pdf/1603.05027.pdfdeep-convolutional-highway-network
This is the implementation of Highway version of Deep convolutional network, based on https://arxiv.org/pdf/1505.00387.pdf.generative-adversarial-network
This is the implementation of simple GAN using TensorFlow as a framwork.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.pdfclassification-python
This repository contains projects done by some of classification techniques. Python.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 deploymentdsgo-streamlit
DataScience Go Virtual conference - Building data applications (Streamlit version)PyTorch-tutorials
This repository contains different models implemented using PyTorch.cnn-tensorflow-keras
Implementation of simple Convolutional Neural Network in TensorFlow and Keras. The dataset used is MNIST.matchbox-intro-to-ml
This repository contains all source files for the Introduction to practical ML course organized with MatchBoxsentiment-analysis
In this mini-project I have implemented LSTM network to classify movie reviews for sentiment analysis task.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-training
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.autoencoders-tensorflow
Different versions and their implementations of Autoencoders using Tensorflow.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.Love Open Source and this site? Check out how you can help us