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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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50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
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HyperspectralDeep Learning for Land-cover Classification in Hyperspectral Images.
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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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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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Pytorch SuperpointSuperpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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Dl For ChatbotDeep Learning / NLP tutorial for Chatbot Developers
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HtmresearchExperimental algorithms. Unsupported.
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Python AwesomeLearn Python, Easy to learn, Awesome
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CardioCardIO is a library for data science research of heart signals
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MaterialsBonus materials, exercises, and example projects for our Python tutorials
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Vae ClusteringUnsupervised clustering with (Gaussian mixture) VAEs
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Stock PredictionStock price prediction with recurrent neural network. The data is from the Chinese stock.
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How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
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PaperboyA web frontend for scheduling Jupyter notebook reports
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Python SonicProgramming Music with Python, Sonic Pi and Supercollider
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Stock market predictionThis is the code for "Stock Market Prediction" by Siraj Raval on Youtube
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MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
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Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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Interpret TextA library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
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Rl Adventure 2PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
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TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
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Scikit GeometryScientific Python Geometric Algorithms Library
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Python lectures파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.
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WeightwatcherThe WeightWatcher tool for predicting the accuracy of Deep Neural Networks
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Gwu data miningMaterials for GWU DNSC 6279 and DNSC 6290.
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FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
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Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
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