Articles About Natural Language Processing

March 30, 2021 NLP, Tool

Download YouTube videos/music and images in MP4, JPG

BashTube Download YouTube videos, music and images in MP4, JPG with this tool, with an easy to understand interface. This tool works with both, the rooted device and the non-rooted. INSTALLATION (TERMUX) $ pkg install -y git $ git clone https://github.com/TrollSkull/BashTube $ cd BashTube $ bash installer.sh USAGE $ bash bashtube.sh YOU CAN UPDATE THE TOOL FROM IT Using >> update and >> y REQUIREMENTS Storage access allowed. (For downloaded videos & images) Storage 10 MB. Internet. GitHub https://github.com/TrollSkull/BashTube […]

March 30, 2021 Data Analysis, NLP

N-D labeled arrays and datasets in Python

xarray xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily […]

March 30, 2021 NLP, Text

A free online text designed to introduce key topics in Bioinformatics with python

Full Spectrum Bioinformatics Full Spectrum Bioinformatics is a free online text designed to introduce key topics in Bioinformatics using the Python programming language. The text is currently in prototype status. Chapters with content you can preview are linked below: The text is currently in prototype status. Chapters with content you can preview are linked below: Chapter 1. Foreword Chapter 2. Introduction Exercise: Spot the Difference Chapter 3. The Command Line Chapter 4. Exploring Python Chapter 5. Project Design Chapter 6. […]

March 29, 2021 Natural Language Processing, NLP

Simple pure function representations of popular time series packages

timemachines State machines for time-series. (Use popular packages with one line of code) What’s different: Simple canoncial use of some functionality from packages like fbprophet, pmdarima, tsa and their ilk. Simple k-step ahead forecasts in functional style involving one line of code.Time series “models” are synomymous with functions that have a “skater” signature, facilitating “skating“.One might say that skater functions suggest state machines for sequential assimilation of observations (as a data point arrives,forecasts for 1,2,…,k steps ahead, with corresponding standard […]

March 29, 2021 Images, NLP

The ctypes-based simple ImageMagick binding for Python

Wand Wand is a ctypes-based simple ImageMagick binding for Python, supporting 2.7, 3.3+, and PyPy. All functionalities of MagickWand API are implemented in Wand. You can install the package from PyPI by using pip: $ pip install Wand Or would you like to enjoy the bleeding edge? Check out the head revision of the source code from the GitHub repository: $ git clone git://github.com/emcconville/wand.git $ cd wand/ $ python setup.py install GitHub https://github.com/emcconville/wand

March 29, 2021 Games, NLP

A fan-made, text-adventure Pokémon game in Python

PythonRed Version A fan-made, text-adventure Pokémon game in Python! Based on Pokémon Red, but with elements from most of the official and spin-off Pokémon games. Important Notes: This is not a perfect recreation of Pokémon Red; it’s a fan-made game that, like Pokémon Red, takes place in the Kanto region. Prior in-depth knowledge of the Pokémon franchise, especially the video game series, is recommended and may be required to fully enjoy this game. Windows OS only!! This game makes use […]

March 28, 2021 Machine Learning, NLP

Simple to use and deploy state-of-the-art ML models

Backprop Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. Solve a variety of tasks with pre-trained models or finetune them in one line for your own tasks. Out of the box tasks you can solve with Backprop: Conversational question answering in English Text Classification in 100+ languages Image Classification Text Vectorisation in 50+ languages Image Vectorisation Summarisation in English Emotion detection in English Text Generation For more specific use cases, you can adapt a task with […]

March 28, 2021 NLP, Text

Almost state of art text generation library with python

Text Gen Text gen is a python library that allow you build a custom text generation model with ease smile Something sweet built with Tensorflow and Pytorch(coming soon) How to use it Install text-gen pip install -U text-gen import the library from text_gen import ten_textgen as ttg Load your data. your data must be in a text format. Download the example data from the example folder load data data = ‘rl.csv’ text = ttg.loaddata(data) build our Model Architeture pipeline = […]

March 28, 2021 Games, NLP

A webcam-based 3x3x3 rubik’s cube solver written in Python 3

Qbr Qbr, pronounced as Cuber, is a webcam-based 3x3x3 rubik’s cube solver written inPython 3 and OpenCV. :rainbow: Accurate color detection :mag: Accurate 3x3x3 rubik’s cube detection :capital_abcd: Multilingual Solve mode Calibrate mode Isn’t the default color detection working out for you? Use the calibratemode to let Qbr be familiar with your cube’s color scheme. If your room hasproper lighting then this will give you a 99.9% guarantee that your colors willbe detected properly. Simply follow the on-screen instructions and […]

March 28, 2021 Machine Learning, NLP

Fast, differentiable sorting and ranking in PyTorch

Torchsort Pure PyTorch implementation of Fast Differentiable Sorting and Ranking (Blondel et al.). Much of the code is copied from the original Numpy implementation at google-research/fast-soft-sort, with the isotonic regression solver rewritten as a PyTorch C++ and CUDA extension. Install pip install torchsort To build the CUDA extension you will need the CUDA toolchain installed. If youwant to build in an environment without a CUDA runtime (e.g. docker), you willneed to export the environment variableTORCH_CUDA_ARCH_LIST=”Pascal;Volta;Turing” before installing. Usage torchsort exposes […]

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