Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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Code DemosCode exercises and demos complementing lecture materials.
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Radiometer Sdr ThesisMy Master's thesis in Computer Engineering. My thesis involves using Software Defined Radios in radiometer applications.
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Rubik researchExperiments with using neural nets to solve a Rubik's Cube - read README first
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Hass Google CoralRETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object
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Seminario Doc 2014Cointegración en series de tiempo
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Miscmisc
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Chinese data analysisAn Analysis of the Distribution Law of Word Frequency and Stroke Number in Chinese
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Neurosleeve Stars: ✭ 7 (-56.25%)
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Ephys AnalysisScripts and utilities for processing electrophysiology data
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AicrystallographerHere, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images
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Plotly Misc NbsMiscellaneous IPython notebooks showing off plotly's features
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PysalPySAL: Python Spatial Analysis Library Meta-Package
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Fundamentals Of Deep Learning For Computer Vision NvidiaThe repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.
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Machine Learning For TelecommunicationsA base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.
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