Mslearn Dp100Lab files for Azure Machine Learning exercises
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Py4fiPython for Finance (O'Reilly)
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Ipython NotebooksThis repository contains IPython notebooks that I have written.
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PythonPython 3
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TalksCode, slides, and documentation for the talks I have given.
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Wine Deep LearningExploring applications of deep learning to the world of wine
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NotebooksExamples and IPython Notebooks about NetworkX
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Fairness In MlThis repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
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Lstm OdysseyImplementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
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Lein JupyterA Leiningen plugin to integrate clojure with jupyter notebook
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MagnetMAGNet: Multi-agents control using Graph Neural Networks
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Smiles TransformerOriginal implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
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Fcos tensorflowFCOS: Fully Convolutional One-Stage Object Detection.
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Learn Ml BasicsA collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.
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SamplevaeMulti-purpose tool for sound design and music production implemented in TensorFlow.
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Mxnet Im2rec tutorialthis simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet
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Deprecated Boot CampsDEPRECATED: please see individual lesson repositories for current material.
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Python option pricingAn libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
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D2l EnInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
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CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
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PytorchPyTorch tutorials A to Z
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Uq bnnUncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
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Curso data scienceCódigo para el curso "Aprende Data Science y Machine Learning con Python"
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PybnnBayesian neural network package
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Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
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FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
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Airbnb Dynamic Pricing Optimization[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
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Pascal Voc PythonRepository for reading Pascal VOC data in Python, rather than requiring MATLAB to read the XML files.
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DeepeegDeep Learning with Tensor Flow for EEG MNE Epoch Objects
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CaffeonsparkDistributed deep learning on Hadoop and Spark clusters.
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360sd NetPytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
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Pp4fpgas Cn HlsHLS Project of pp4fpgas - https://github.com/xupsh/pp4fpgas-cn
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Nf JaxNormalizing Flows in Jax
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Python For Data ScientistsDeliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.
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AfnetCode for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'
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Stock cnn blog pubThis project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
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Ds With PysimpleguiData science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
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Ufcnn KerasImplementation of UFCNN in Keras
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JunosautomationTo contain example scripts for different tools.
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NobslanotebooksJupyter notebooks with exercises for the No bullshit guide to linear algebra.
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CognomaPutting machine learning in the hands of cancer biologists
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