CadlARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
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Exram.gremlinqA .NET object-graph-mapper for Apache TinkerPop™ Gremlin enabled databases.
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MachinelearningnotebooksPython notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
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Developing Solutions Azure ExamThis repository contains resources for the Exam AZ-203: Developing Solutions for Microsoft Azure. You can find direct links to resources and and practice resources to test yourself ☁️🎓📚
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DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
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Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
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Pragmaticai[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
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Bcs workshop apr 20Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design
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Live.asp.netCode for live.asp.net, which hosts the ASP.NET Community Stand-up
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Dl WorkshopMaster gradient-based machine learning. Also secretly a JAX course in disguise!
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4tu CssMaterial for a Computational Social Science (CSS) Workshop hosted by the four Dutch technical universities.
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Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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RecommendersBest Practices on Recommendation Systems
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Cosmonaut🌐 A supercharged Azure CosmosDB .NET SDK with ORM support
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Pydata Pandas WorkshopMaterial for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
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Dl Workshop SeriesMaterial used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
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RecommendationRecommendation System using ML and DL
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AcademiccontentFree tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
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Mlnet WorkshopML.NET Workshop to predict car sales prices
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Sanet KerasImplement SANet for crowd counting in Keras.
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Multitask LearningMSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla
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Numpy Rnnnumpy implementation of Recurrent Neural Network
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GeemapA Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium
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Deep DreamPyTorch implement of Google Deep Dream
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Multi LabelPytorch code for multi-Instance multi-label problem
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Dl Colab NotebooksTry out deep learning models online on Google Colab
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Pydata 2016Materials for talk at PyData London 2016
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UnswCourse materials
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Simple Ssd For BeginnersThis repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn
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GeopyterGeoPyTeR: Geographical Python Teaching Resource
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Cwl DataCall of Duty World League Player Data
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Attentive Neural Processesimplementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
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Pm PyroPyMC3-like Interface for Pyro
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Yolact TutorialA tutorial for using YOLACT in Google Colab
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Gaze EstimationA deep learning based gaze estimation framework implemented with PyTorch
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