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Ai机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用
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CenpyExplore and download data from Census APIs
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PytorchnlpbookCode and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
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MatgenbJupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
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BoxdetectionA Box detection algorithm for any image containing boxes.
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Lt GeeGoogle Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
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Kaggle Ds Bowl 2018 BaselineFull train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN
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Covid 19A collection of work related to COVID-19
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Ml4music WorkshopMachine Learning for Music and Sound Synthesis workshop
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DndtDeep Neural Decision Trees
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SophiaNeural networks from scratch
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Ossdc VisionbasedaccDiscuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)
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D2l Torch《动手学深度学习》 PyTorch 版本
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Gen QuickstartDocker file for building Gen and Jupyter notebooks for tutorials and case studies
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Bert Loves Chemistrybert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
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How To Generate Art DemoThis is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube
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FmaFMA: A Dataset For Music Analysis
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100 Pandas Puzzles100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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Anomaly DetectionAnomaly detection algorithm implementation in Python
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GspanPython implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
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How to make an image classifierThis is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube
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NotebooksMy IPython Notebooks
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DeepaiDetection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
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Av exampleExamples on how to use the alpha vantage library
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DmmDeep Markov Models
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Unet Segmentation In Keras TensorflowUNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.
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YaboxYet another black-box optimization library for Python
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CgoesResearch by Carlos Góes
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Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
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