OttoOtto makes machine learning an intuitive, natural language experience. π Facebook AI Hackathon winner βοΈ #1 Trending on MadeWithML.com βοΈ #4 Trending JavaScript Project on GitHub βοΈ #15 Trending (All Languages) on GitHub
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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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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ImodelsInterpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Jetson ContainersMachine Learning Containers for NVIDIA Jetson and JetPack-L4T
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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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SkggmScikit-learn compatible estimation of general graphical models
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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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Stability Selectionscikit-learn compatible implementation of stability selection.
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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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Text ClassificationMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
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Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
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TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
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Scikit PlotAn intuitive library to add plotting functionality to scikit-learn objects.
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pipelinePipelineAI Kubeflow Distribution
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Pymc Learnpymc-learn: Practical probabilistic machine learning in Python
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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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Orange3π π π‘ Orange: Interactive data analysis
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PymoA library for machine learning research on motion capture data
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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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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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Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
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ElandPython Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
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PqkmeansFast and memory-efficient clustering
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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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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
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Bert Sklearna sklearn wrapper for Google's BERT model
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kenchiA scikit-learn compatible library for anomaly detection
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MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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intro-to-mlA basic introduction to machine learning (one day training).
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StackingStacked Generalization (Ensemble Learning)
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SphereclusterClustering routines for the unit sphere
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EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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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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Ml Workspaceπ All-in-one web-based IDE specialized for machine learning and data science.
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HummingbirdHummingbird compiles trained ML models into tensor computation for faster inference.
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PorndetectorPorn images detector with python, tensorflow, scikit-learn and opencv.
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Dash SvmInteractive SVM Explorer, using Dash and scikit-learn
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Sklearn OnnxConvert scikit-learn models and pipelines to ONNX
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M2cgenTransform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
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PyensembleAn implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
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Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
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imbalanced-ensembleClass-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 樑εεγη΅ζ΄»γζζ©ε±ηη±»ε«δΈεΉ³θ‘‘/ιΏε°ΎζΊε¨ε¦δΉ εΊ
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go-ml-benchmarksβ± Benchmarks of machine learning inference for Go
Stars: β 27 (+125%)