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CgoesResearch by Carlos Góes
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Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
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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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BeymaniHadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.
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Ml4music WorkshopMachine Learning for Music and Sound Synthesis workshop
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OpenomniDocumentation and library for decoding omnipod communications.
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Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
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Sklearn tutorialMaterials for my scikit-learn tutorial
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StreamSTREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data
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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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Aws Ai Bootcamp LabsThis library holds a collection of Notebooks and code examples for AWS AI Bootcamps.
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Cs224dCS224D Assignments
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Anomaly DetectionAnomaly detection algorithm implementation in Python
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JupyterworkflowReproducible Data Analysis Workflow in Jupyter
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PenkitTools for pen plotting in Python
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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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Dog Breeds ClassificationSet of scripts and data for reproducing dog breed classification model training, analysis, and inference.
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Face ClassificationFace model to classify gender and race. Trained on LFWA+ Dataset.
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Cc6204Material del curso de Deep Learning de la Universidad de Chile
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ExamplesUseful RadioML Examples
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