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 […]

March 28, 2021 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 […]

March 28, 2021 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 […]

March 28, 2021 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 […]

March 28, 2021 Machine Learning, NLP

Focal Frequency Loss for Generative Models

focal-frequency-loss This repository will provide the official code for the following paper: Focal Frequency Loss for Generative ModelsLiming Jiang, Bo Dai, Wayne Wu and Chen Change LoyarXiv preprint, 2020. Abstract: Despite the remarkable success of generative models in creating photorealistic images using deep neural networks, gaps could still exist between the real and generated images, especially in the frequency domain. In this study, we find that narrowing the frequency domain gap can ameliorate the image synthesis quality further. To this […]

March 28, 2021 Machine Learning, NLP

Writing high-level code for parallel high-performance stencil computations

ParallelStencil.jl ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding CUDA.jl Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance […]

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