Month: March 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 […]

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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    

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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 […]

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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 […]

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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 = […]

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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 […]

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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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Framework, NLP

An Agnostic Object Detection Framework

cevision End-to-End Object Detection Framework – Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come. Installation pip install icevision[all] Important: We currently only support Linux/MacOS. Why IceVision? IceVision is an Object-Detection Framework that connects to different libraries/frameworks such as Fastai, Pytorch Lightning, and Pytorch with more to come. Features a Unified Data API with out-of-the-box support for common annotation formats (COCO, VOC, etc.) The IceData repo hosts community maintained parsers and custom datasets Provides flexible model implementations with […]

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NLP, Tool

A tool to convert AWS EC2 instances back and forth between On-Demand

ec2-spot-converter This tool converts existing AWS EC2 instances back and forth between On-Demand and ‘persistent’ Spot billing models while preserving instance attributes (Launch configuration, Tags..), network attributes (existing Private IP addresses, Elastic IP), storage (Volumes), Elastic Inference accelerators, Elastic GPUs. Others features: Can also perform Spot-to-Spot and OnDemand-to-OnDemand conversions: Allow replacement of existing Spot instances with new “identical” ones to update the instance type and CPU options, Help to fix some Spot instance conditions (Ex: ‘IncorrectSpotRequestState Exception’), Allow Root Disk […]

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Graph, NLP

Halftone with Points And Lines

HalftonePAL This arranges points on an image for halftoning, using the circles themselves, dots at their centers, or lines connecting the circles. Features: Choose how to arrange the circles: Circle packing, quadtree, random dither, 1D and 2D error diffusion on square or hex grids. Choose what pattern to make from the circles: Show dots, circles, tilted lines, scan back-and-forth, connect the points with a Hilbert curve, make a greedy path between points, a greedy loop, a minimum spanning tree, a […]

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