HummingbirdHummingbird compiles trained ML models into tensor computation for faster inference.
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Igela delightful machine learning tool that allows you to train, test, and use models without writing code
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SphereclusterClustering routines for the unit sphere
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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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PorndetectorPorn images detector with python, tensorflow, scikit-learn and opencv.
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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
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ElandPython Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
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100DaysOfMLCodeI am taking up the #100DaysOfMLCode Challenge 😎
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emoji-prediction🤓🔮🔬 Emoji prediction from a text using machine learning
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
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scikit-learn-intelexIntel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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PqkmeansFast and memory-efficient clustering
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kenchiA scikit-learn compatible library for anomaly detection
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Jetson ContainersMachine Learning Containers for NVIDIA Jetson and JetPack-L4T
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ASD-ML-APIThis project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…
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pygramsExtracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence
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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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scitimeTraining time estimation for scikit-learn algorithms
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Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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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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ml webappExplore machine learning models. Leveraging scikit-learn's models and exposing their behaviour through API
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Sklearn OnnxConvert scikit-learn models and pipelines to ONNX
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go-ml-benchmarks⏱ Benchmarks of machine learning inference for Go
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LaleLibrary for Semi-Automated Data Science
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sklearn-matlabMachine learning in Matlab using scikit-learn syntax
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ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
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pipelinePipelineAI Kubeflow Distribution
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
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lending-clubApplying machine learning to predict loan charge-offs on LendingClub.com
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VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
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scikit-hyperbandA scikit-learn compatible implementation of hyperband
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Artificial Intelligence Deep Learning Machine Learning TutorialsA comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
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website-fingerprintingDeanonymizing Tor or VPN users with website fingerprinting and machine learning.
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RobustPCANo description or website provided.
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PredictionAPITutorial on deploying machine learning models to production
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