Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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Kitti DatasetVisualising LIDAR data from KITTI dataset.
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Python AwesomeLearn Python, Easy to learn, Awesome
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DataData and code behind the articles and graphics at FiveThirtyEight
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Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
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PyqstratA fast, extensible, transparent python library for backtesting quantitative strategies.
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Introduction To PythonPython is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)
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Allensdkcode for reading and processing Allen Institute for Brain Science data
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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
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Handson Ml2A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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Vdom🎄 Virtual DOM for Python
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Medium articlesScripts/Notebooks used for my articles published on Medium
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NemoNeMo: a toolkit for conversational AI
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BinpyAn electronic simulation library written in pure Python
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Rl AdventurePytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
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Dat7General Assembly's Data Science course in Washington, DC
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PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Malware DetectionMalware Detection and Classification Using Machine Learning
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Graph NotebookLibrary extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
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TensorflowDeep Learning Zero to All - Tensorflow
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DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
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DatasetsA collection of all my datasets
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WorldmodelsAn implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
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JazzmlA (very incomplete) project that combines machine learning with music.
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Python Script ExamplesThis repository contains my python (3) script examples that focus on use cases for Network Engineers.
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Mxnet The Straight DopeAn interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
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