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Machine Intelligence Open Source Projects
    Open nsfw model

    code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models

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    TextRank implementation in Python

    TextRank implementation for text summarization and keyword extraction in Python

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    Module for automatic summarization of text documents and HTML pages

    Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains simple evaluation framework for text summaries.

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    A python library for simple text summarization
    A python library for simple text summarization. First install nltk and numpy: sudo pip install nltk sudo pip install numpy Then install the punkt and stopwords nltk packages: sudo python -...
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    Reduction : Python script which automatically summarizes a text
    Reduction Reduction is a python script which automatically summarizes a text by extracting the sentences which are deemed to be most important. Example usage: from reduction import * reducti...
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    TextTeaser: An automatic summarization algorithm.
    TextTeaser is an automatic summarization algorithm that combines the power of natural language processing and machine learning to produce good results. This is now the official version of TextTease...
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    Sentiment analysis using machine learning techniques
    Sentiment analysis using machine learning techniques. Check for the training and testing code. A demo of the tool is available here - Explore


    An implementation of Deep Q-Network using Caffe

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    Giraffe : An experimental chess engine

    Giraffe is an experimental chess engine based on temporal-difference reinforcement learning with deep neural networks. It discovers almost all its chess knowledge through self-play.

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    Anomaly Detection with R By Twitter
    AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. The AnomalyDetection package ca...
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    Tensorflow Speech Recognition

    Speech recognition using google's tensorflow deep learning framework, sequence-to-sequence neural networks and keras. Caffe-speech-recognition is being migrated to tensorflow.

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    Inception in TensorFlow
    ImageNet is a common academic data set in machine learning for training an image recognition system. Code in this directory demonstrates how to use TensorFlow to train and evaluate a type of convoluti...
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    Bugspots - Bug Prediction Heuristic
    An implementation of the simple bug prediction heuristic outlined by the Google Engineering team: Bu...

    TensorFlow to Train and Evaluate a CNN on CIFAR-10 DATA
    CIFAR-10 is a common benchmark in machine learning for image recognition. Code...
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    DenseCap: Fully Convolutional Localization Networks for Dense Captioning
    Efficiently identify and caption all the things in an image with a single forward pass of a network. Our model is fully differentiable and trained end-to-end without any pipelines. The model is also v...
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    Char-RNN: Visualizing and Understanding Recurrent Networks
    This code implements multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling from character-level language models. In other words the model takes one text file as input and tra...
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    NeuralTalk2 : Efficient Image Captioning code in Torch, runs on GPU
    Recurrent Neural Network captions your images. Now much faster and better than the original NeuralTalk. Compared to the original NeuralTalk this implementation is batched, uses Torch, runs on a GPU, a...
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    Retrieval Of Images From Sentence Descriptions And Vice Versa
    We train a multi-modal embedding to associate fragments of images (objects) and sentences (noun and verb phrases) with a structured, max-margin objective. Our model enables efficient and interpretible...
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