Ipython NotebooksInformal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
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Fantasy Basketball Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
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NbashotsNBA shot charts using matplotlib, seaborn, and bokeh.
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Keras Trigger WordHow to do Real Time Trigger Word Detection with Keras | DLology
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UnetU-Net Biomedical Image Segmentation
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Face RecognitionFace recognition and its application as attendance system
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Python4dsJupyter Notebooks used on my DataScience projects
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Pytorch tutorialA set of jupyter notebooks on pytorch functions with examples
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Deeplearning ImageIntroduction to Deep Learning for Image Recognition
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Diy AlexaCommand recognition research
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GpA tutorial about Gaussian process regression
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Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
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EssentiaC++ library for audio and music analysis, description and synthesis, including Python bindings
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Deep DeepAdaptive crawler which uses Reinforcement Learning methods
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Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
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Dlfs codeCode for the book Deep Learning From Scratch, from O'Reilly September 2019
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Faster Rcnn tensorflowThis is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.
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GatorConda environment and package management extension from within Jupyter
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Vmls CompanionsThese are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
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Celeste.jlScalable inference for a generative model of astronomical images
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Symplectic Gradient AdjustmentA colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
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Pycaffe tutorialTutorial for pycaffe, the Python API to the Neural Network framework, Caffe
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Svhnclassifier PytorchA PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
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Chess Alpha ZeroChess reinforcement learning by AlphaGo Zero methods.
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Cutout Random ErasingCutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
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Scipy con 2019Tutorial Sessions for SciPy Con 2019
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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D6tstackQuickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet
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BasenjiSequential regulatory activity predictions with deep convolutional neural networks.
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SegawareSegmentation-Aware Convolutional Networks Using Local Attention Masks
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