Learning PysparkCode repository for Learning PySpark by Packt
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Naucse.python.czWebsite with learning materials / Stránka s učebními materiály
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PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Pydqcpython automatic data quality check toolkit
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Malware DetectionMalware Detection and Classification Using Machine Learning
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TensorflowDeep Learning Zero to All - Tensorflow
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Speech recognition with tensorflowImplementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
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Text ClassificationText Classification through CNN, RNN & HAN using Keras
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NotebookerProductionise your Jupyter Notebooks as easily as you wrote them.
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Smpybandits🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
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HyperspectralDeep Learning for Land-cover Classification in Hyperspectral Images.
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My tech resourcesList of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful
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Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
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TutmomTutorial on "Modern Optimization Methods in Python"
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PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
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Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
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Tensorflow Without A PhdA crash course in six episodes for software developers who want to become machine learning practitioners.
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Neural decodingA python package that includes many methods for decoding neural activity
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SoltStreaming over lightweight data transformations
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TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
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MattnetMAttNet: Modular Attention Network for Referring Expression Comprehension
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Pytorch Vgg Cifar10This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
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Statannotadd statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
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Drn cvpr2020Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
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DeepconvlstmDeep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
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MldlMachine Learning and Deep Learning Resources
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BertvizTool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
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Coloring T SneExploration of methods for coloring t-SNE.
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Introduction To PythonPython is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
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Sc17SuperComputing 2017 Deep Learning Tutorial
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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PysolarPysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
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Audio ClassificationCode for YouTube series: Deep Learning for Audio Classification
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DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
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