Month: April 2021
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Synchrosqueezing in Python Synchrosqueezing is a powerful reassignment method that focuses time-frequency representations, and allows extraction of instantaneous amplitudes and frequencies. Features Continuous Wavelet Transform (CWT), forward & inverse, and its Synchrosqueezing Short-Time Fourier Transform (STFT), forward & inverse, and its Synchrosqueezing Wavelet visualizations and testing suite Generalized Morse Wavelets Ridge extraction Fastest wavelet transforms in Python1, beating MATLAB 1: feel free to open Issue showing otherwise Installation pip install ssqueezepy. Or, for latest version (most likely stable): pip install […]
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An easy-to-use Discord bot written in Python
AniSearch AniSearch is an easy-to-use Discord bot written in Python that allows you to search for anime, manga, characters, staff, studios and much more directly in Discord and displays the results as paginated embeds! You can also: Search for a random anime or manga of a specific genre. View the opening and ending themes of an anime. View another user’s profile with anime and manga stats from AniList, MyAnimeList or Kitsu. Search for the anime or the source of an […]
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A repository of PyBullet utility functions for robotic motion planning
pybullet-planning (ss-pybullet) A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning (TAMP). This repository was originally developed for the PDDLStream (previously named STRIPStream) approach to TAMP. With the help of Yijiang Huang, a stable and documented fork of ss-pybullet named pybullet_planning is available through PyPI. However, new features will continue to be introduced first through ss-pybullet. Installation Install PyBullet on OS X or Linux using: $ pip install numpy pybullet $ git […]
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A Guide to Feature Engineering in NLP
Overview Feature engineering in NLP is understanding the context of the text. In this blog, we will look at some of the common feature engineering in NLP. We will compare the results of a classification task with and without doing feature engineering Table of Content Introduction NLP task overview List of features with code Implementation Results comparison with and without doing feature engineering Conclusion Introduction “If 80 percent of our work is data preparation, then ensuring data quality […]
Read moreIssue #126 – Learning Feature Weights for Denoising Parallel Corpora
15 Apr21 Issue #126 – Learning Feature Weights for Denoising Parallel Corpora Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Large web-crawled parallel corpora constitute a very useful source of data to improve neural machine translation (NMT) engines. However, their effectiveness is reduced by the large amount of noise they usually contain. As early as in issue #2 of this series, we pointed out that NMT is particularly sensitive to noise in the training data. In issue […]
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Pixel Art Reverse Image Search for OpenGameArt
PixelArtSearch Pixel art search engine for opengameart. ## What data do you need on each image to create a reverse image search? I used [VGG16 feature extraction](https://towardsdatascience.com/extract-features-visualize-filters-and-feature-maps-in-vgg16-and-vgg19-cnn-models-d2da6333edd0) in [my script for this](https://github.com/emnh/PixelArtSearch/blob/master/scripts/featureVectors.py). See the article for more information, but in essence it’s 4096 32-bit floating point numbers for each image, which describe various features of the image, say for instance in a very simplified way how many stripes or squares it has or how green it is. But these features […]
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Transfer learning for NLP models by annotating your textual data
Label Studio for Transformers Transfer learning for NLP models by annotating your textual data without any additional coding. This package provides a ready-to-use container that links together: Quick Usage Install Label Studio and other dependencies pip install -r requirements.txt Create ML backend with BERT classifier label-studio-ml init my-ml-backend –script models/bert_classifier.py cp models/utils.py my-ml-backend/utils.py Create ML backend with BERT named entity recognizer label-studio-ml init my-ml-backend –script models/ner.py cp models/utils.py my-ml-backend/utils.py Start ML backend at http://localhost:9090 label-studio-ml start my-ml-backend Start Label Studio […]
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OpenAI DALLE model and generating images from given texts
DALLE-reproduction This repository is for sharing pre-trained OpenAI DALLE model and generating images from given texts. All models are trained by lucidrains/DALLE-pytorch + VQGAN (Taming transformer) with different training code and BPE model. The notebook includes Text to image generation Pre-trained CLIP reranking 3. Generate rest of image based on the given cropped image Usage Install requirements $ pip install -r requirements Install DeepSpeed Follow the instruction here and install DeepSpeed Models Download models below and save them in pretrained […]
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A Legate library that aims to provide a distributed and accelerated drop-in replacement
Legate NumPy Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the final example of the Python CFD course completely unmodified on 2048 A100 GPUs in a DGX SuperPOD and achieve good weak scaling. Legate NumPy works best for programs that have very large arrays of data that cannot fit in the memory of a […]
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