Visual explanations of core machine learning concepts. A brilliant website for everyone looking to learn important machine learning concepts through visuals in a fun way. Check this: http://
mlu-explain.github.io
@sumanth_077
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Visual Machine Learning Concepts Learning Website
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Recommendation for NLP Content Creator
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Great. You should also check @pradip_nichite for great NLP Content.
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Open-source ML Tools Content Series Coming Soon
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That's it. Hope you enjoyed reading this. I will be sharing more content on all open-source ML Tools in the coming threads. Follow me @Sumanth_077 so won't miss what's coming next.
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Start Contributing to Open Source Tools You Use Daily
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No need to be above mentioned projects. Think of the tools and libraries you are working on daily within your projects and start contributing to that. For example Pandas, Numpy, Matplotlib, Tensorflow, Jax, etc. It can be of any project just start contributing to Open Source.
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Bento ML: Open Source Framework for Production ML Models
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7. Bento ML It is an open source model serving framework that helps you take your ML Models to Production https://
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Lightning AI: Build and Deploy AI Models Without Infrastructure Worries
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6. Lightning AI This helps you build AI products, train, finetune and deploy models on the cloud without worrying about infrastructure, cost management. https://
github.com/Lightning-AI/l
ightning
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ZenML: Open-Source ML Pipeline Framework Integration Tool
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5. ZenML Open-source pipeline framework that integrates all your ML tools https://
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Deepchecks: Python Package for ML Model and Data Validation
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4. Deepchecks Deep checks is a Python package for comprehensively validating your machine learning models and data with minimal effort. https://
github.com/deepchecks/dee
pchecks
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Weights & Biases: MLOps Platform for Model Development
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3. Weights & Biases Mlops Platform to build better models faster with experiment tracking, dataset versioning, and model management https://
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MindsDB: AI Layer for Databases with SQL-Based ML Models
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2. Mindsdb MindsDB is an open-source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using SQL queries.