booksA collection of online books for data science, computer science and coding!
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DaskParallel computing with task scheduling
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Sktime Dlsktime companion package for deep learning based on TensorFlow
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PyafPyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
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SktimeA unified framework for machine learning with time series
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zestdbZestDB
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nodejs-tutorials-hapiExamples for the hapi tutorial series within the Future Studio University
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kenchiA scikit-learn compatible library for anomaly detection
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cmilCMIL - Clarified Multilingual Intermediate Language
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gorillaAn effective time-series data compression/decompression method based on Facebook's Gorilla.
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Manual TestingThis repository contains the General Test Cases for performing Manual Testing on the Web/Mobile application. It also has Test cases related to API Testing. Templates related to Test Plan and BugBash are also updated.
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Ml sagemaker studiesCase studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
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imbalanced-ensembleClass-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
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PaperWeeklyAI📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
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Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
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intro-to-mlA basic introduction to machine learning (one day training).
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Warp10 PlatformThe Most Advanced Time Series Platform
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SfaScalable Time Series Data Analytics
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cache-liteAn extremely lite-weight cache framework in Kotlin, demonstrating how cache works.
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PipelinedbHigh-performance time-series aggregation for PostgreSQL
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TsfelAn intuitive library to extract features from time series
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laravel-quasar⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.
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nodejs-tutorialsSample implementations for actionable Node.js tutorials 🚀
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notebooksA docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:
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wv⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…
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lending-clubApplying machine learning to predict loan charge-offs on LendingClub.com
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100DaysOfMLCodeI am taking up the #100DaysOfMLCode Challenge 😎
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dimensions-api-labResearch data analytics tutorials using the Dimensions Analytics API
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clickbait-workshopPydata 2017 workshop: build a clickbait detector with python
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NetdataReal-time performance monitoring, done right! https://www.netdata.cloud
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TSceptionPyTorch implementation of TSception
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Astgcn⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch
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ForestCoverChangeDetecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
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LightkurveA friendly package for Kepler & TESS time series analysis in Python.
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query-selectorLONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
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TdengineAn open-source big data platform designed and optimized for the Internet of Things (IoT).
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Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
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Hawkular MetricsTime Series Metrics Engine based on Cassandra
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SnmpcollectorA full featured Generic SNMP data collector with Web Administration Interface for InfluxDB
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Android-WeeklyAndroid Weekly is a free newsletter that helps you to stay cutting-edge with your Android Development. The newsletter comes once a week and covers a broad range of topics like tutorials, screencasts, news... just everything that's awesome in the Android Development world!
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PlatformArchived incubation repo for InfluxDB 2.0
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go-ml-benchmarks⏱ Benchmarks of machine learning inference for Go
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Movie-Recommendation-ChatbotMovie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…
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AI4Waterframework for developing machine (and deep) learning models for structured data
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TF-Speech-Recognition-Challenge-SolutionSource code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.
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TsfeaturesTime series features
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Pyemma🚂 Python API for Emma's Markov Model Algorithms 🚂
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dbnRGaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
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TaganomalyAnomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
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Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
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pipelinePipelineAI Kubeflow Distribution
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MintpyMiami InSAR time-series software in Python
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