TOC
Machine Learning Tools
Machine Learning Toolbox
- Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code
- a machine learning tool that allows to train, test and use models without writing code
- PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes in your choice of notebook environment.
- WEKA The workbench for machine learning
- igel A machine learning tool that allows you to train/fit, test and use models without writing code
- sktime A unified toolbox for machine learning with time series
- FiftyOne is an open source machine learning tool created by Voxel51 that helps you get closer to your data and ML models. With FiftyOne, you can rapidly experiment with your datasets, enabling you to search, sort, filter, visualize, analyze, and improve your datasets without excess wrangling or writing custom scripts.
Machine Learning Deployment
Machine Learning Versioning Control
- Replicate AI versioning control for AI
- Comet ML versioning control for ML
Data Studio
Machine Learning Ops
Machine Learning
Machine Learning Toolbox
- Machine Learning Toolbox
- LabML Neural Networks This is a collection of simple PyTorch implementations of neural networks and related algorithms.
Machine Learning
- alan-turing-institute/MLJ.jl at mlnews Julia Machine Learning Library
- Rudrabha/Wav2Lip at mlnews Voice Wave to Lip Movement
- Best AI Paper 2020
Machine Learning Tools
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aimhubio/aim: Aim—a super-easy way to record, search and compare 1000s of ML training runs
- Replicate–Version control for machine learning
Machine Learning Steps
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- Importing Data
- Data Cleaning
- Visualisation
- Modelling
- Production
