ExamplesHome for Elasticsearch examples available to everyone. It's a great way to get started.
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OsumapperAn automatic beatmap generator using Tensorflow / Deep Learning.
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X2facePytorch code for ECCV 2018 paper
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Gluon ApiA clear, concise, simple yet powerful and efficient API for deep learning.
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Yolo Digit DetectorImplemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
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Blazeface PytorchThe BlazeFace face detector model implemented in PyTorch
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Mlapp cn code《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。
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FlamlA fast and lightweight AutoML library.
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
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WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
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Lstm stock predictionThis is an LSTM stock prediction using Tensorflow with Keras on top.
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Pytorch Vq VaePyTorch implementation of VQ-VAE by Aäron van den Oord et al.
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Highres NetPytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
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Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
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DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
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DdadDense Depth for Autonomous Driving (DDAD) dataset.
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Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
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Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
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Python BootcampPython Bootcamp docs and lectures (UC Berkeley)
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LearnopencvLearn OpenCV : C++ and Python Examples
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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DeoldifyA Deep Learning based project for colorizing and restoring old images (and video!)
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ConcretedropoutCode for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
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OrnOriented Response Networks, in CVPR 2017
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Spacy RuRussian language models for spaCy
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MultihopkgMulti-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
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Python For Data ScienceA collection of Jupyter Notebooks for learning Python for Data Science.
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PortraitnetCode for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019
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Emoji2vecemoji2vec: Learning Emoji Representations from their Description
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MosquitoTrading Bot with focus on Evolutionary Algorithms and Machine Learning
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ElementsofdatascienceAn introduction to data science in Python, for people with no programming experience.
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Ten Rules JupyterTen Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
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ScihubSource code and data analyses for the Sci-Hub Coverage Study
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Doc Han AttHierarchical Attention Networks for Chinese Sentiment Classification
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Hardware introductionWhat scientific programmers must know about CPUs and RAM to write fast code.
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