Getting started with NLTK

About NLTK Open Source Text Processing Project: NLTK Install NLTK 1. Install the latest NLTK pakage on Ubuntu 16.04.1 LTS: textprocessing@ubuntu:~$ sudo pip install -U nltk Collecting nltk Downloading nltk-3.2.2.tar.gz (1.2MB) 35% |███████████▍ | 409kB 20.8MB/s eta 0:00:0 …… 100% … Continue reading

Open Source Text Processing Project: segtok

segtok: sentence segmentation and word tokenization tools Project Website: http://fnl.es/segtok-a-segmentation-and-tokenization-library.html Github Link: https://github.com/fnl/segtok Description A rule-based sentence segmenter (splitter) and a word tokenizer using orthographic features. The segtok package provides two modules, segtok.segmenter and segtok.tokenizer. The segmenter provides functionality for … Continue reading

Open Source Text Processing Project: textacy

textacy: higher-level NLP built on spaCy Project Website: https://textacy.readthedocs.io Github Link: https://github.com/chartbeat-labs/textacy Description textacy is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance spaCy library. With the basics — tokenization, part-of-speech tagging, dependency … Continue reading

Open Source Text Processing Project: vivekn sentiment

Sentiment analysis using machine learning techniques Project Website: http://sentiment.vivekn.com/ Github Link: https://github.com/vivekn/sentiment Description Sentiment analysis using machine learning techniques. Check info.py for the training and testing code. A demo of the tool is available here Refer this paper for more … Continue reading

Open Source Deep Learning Project: ELEKTRONN

ELEKTRONN: A highly configurable toolkit for training 3d/2d CNNs and general Neural Networks Project Website: http://elektronn.org/ Github Link: https://github.com/ELEKTRONN/ELEKTRONN Description ELEKTRONN is a deep learning toolkit that makes powerful neural networks accessible to scientists outside of the machine learning community. … Continue reading

Open Source Deep Learning Project: Gnumpy

Gnumpy Project Website: None Github Link: http://www.cs.toronto.edu/~tijmen/gnumpy.html Description Do you want to have both the compute power of GPU’s and the programming convenience of Python numpy? Gnumpy + Cudamat will bring you that. Gnumpy is a simple Python module that … Continue reading

Open Source Deep Learning Project: CUDAMat

CUDAMat: Python module for performing basic dense linear algebra computations on the GPU using CUDA Project Website: None Github Link: https://github.com/cudamat/cudamat Description The aim of the cudamat project is to make it easy to perform basic matrix calculations on CUDA-enabled … Continue reading

Open Source Deep Learning Project: Nengo

The Nengo Neural Simulator Project Website: http://nengo.ca/ Github Link: None Description Nengo is a graphical and scripting based software package for simulating large-scale neural systems. The book How to build a brain, which includes Nengo tutorials, is now available. This … Continue reading

Open Source Deep Learning Project: Chainer

Chainer: A Powerful, Flexible, and Intuitive Framework of Neural Networks Project Website: http://chainer.org/ Github Link: https://github.com/pfnet/chainer Description Chainer is a flexible framework for neural networks. One major goal is flexibility, so it must enable us to write complex architectures simply … Continue reading

Open Source Deep Learning Project: Keras

Keras: Deep Learning library for Theano and TensorFlow Project Website: http://keras.io/ Github Link: https://github.com/fchollet/keras Description Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was … Continue reading