IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
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ZigzagPython library for identifying the peaks and valleys of a time series.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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DeepreinforcementlearningA replica of the AlphaZero methodology for deep reinforcement learning in Python
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BinderhubRun your code in the cloud, with technology so advanced, it feels like magic!
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Fast Neural StylePytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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Pastas🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.
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DeeplearningbookRepositório do Deep Learning Book - www.deeplearningbook.com.br
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Fifa 2018 World Cup PredictionsI used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.
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Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
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CourseramlI took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
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Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
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Data Science Stack Cookiecutter🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
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Fairseq Zh EnNMT for chinese-english using fairseq
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TrlTrain transformer language models with reinforcement learning.
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Coms4995 S18COMS W4995 Applied Machine Learning - Spring 18
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Feature SelectorFeature selector is a tool for dimensionality reduction of machine learning datasets
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Self LearningBooks Papers, Courses & more I have to learn soon
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Dss Pytorch⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection
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Time Series Forecasting Of Amazon Stock Prices Using Neural Networks Lstm And GanProject analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
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HdbscanA high performance implementation of HDBSCAN clustering.
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TestovoeHome assignments for data science positions
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CorusLinks to Russian corpora + Python functions for loading and parsing
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Ipynb QuicklookA Quick Look generator for Jupyter/IPython notebooks without further dependencies
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Patch Based Texture SynthesisBased on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers
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