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The Best NormConf - The Normcore Tech Conference Alternatives in 2026
Looking for something like NormConf - The Normcore Tech Conference? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 3 are free or have a free plan and 5 are open source.
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
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Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | TutorialSearch | Free | Not stated | Web |
| 2 | Andrew Ng’s Machine Learning at Stanford University | — | Not stated | Web |
| 3 | The 100-Page Language Models Book | — | Not stated | Web |
| 4 | Machine Learning Mastery | — | Not stated | Web |
| 5 | Homemade Machine Learning | — | Yes | — |
| 6 | Introduction to Machine Learning with Python | — | Not stated | — |
| 7 | AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics | — | Yes | — |
| 8 | NirDiamant/GenAI Agents | — | Not stated | — |
| 9 | ICML | — | Not stated | Web |
| 10 | Sebastian Thrun’s Introduction To Machine Learning | — | Not stated | Web |
All NormConf - The Normcore Tech Conference alternatives
Andrew Ng’s Machine Learning at Stanford University
coursera.org/learn/machine-learningThis Coursera course teaches supervised machine learning, regression, and classification with Python.
The 100-Page Language Models Book
thelmbook.comThe Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
Machine Learning Mastery
machinelearningmastery.comMachine Learning Mastery shares guidance for developers learning to apply machine learning.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Introduction to Machine Learning with Python
github.com/amueller/introduction_to_ml_with_py…Notebooks and code for the book "Introduction to Machine Learning with Python".
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
github.com/Western-OC2-Lab/AutoML-Implementati…Open sourceThis repository provides a tutorial implementation of AutoML for batch and online learning.
NirDiamant/GenAI Agents
github.com/NirDiamant/GenAI_AgentsThis repository contains more than 50 tutorials and implementations for generative AI agent techniques.
ICML
icml.cc/2015The ICML site provides information about the International Conference on Machine Learning in Lille.
Sebastian Thrun’s Introduction To Machine Learning
udacity.com/course/intro-to-machine-learning--…Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.
Weka
ml.cms.waikato.ac.nz/wekaWeka 3 provides open source machine learning and data mining software written in Java.
Mlu github
mlu-explain.github.ioMLU-Explain provides visual explanations of machine learning concepts through educational materials.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
Made With ML
madewithml.comMade With ML offers lessons on designing, developing, deploying, and improving production machine learning applications.
Stanford CS336: Language Modeling from Scratch
cs336.stanford.eduStanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.
Chip Huyen's Blog
huyenchip.com/blogChip Huyen writes about AI system design and bringing AI applications into production.
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
This repository collects tutorials and examples for learning machine learning and pattern classification.
Tutor AI answers questions, explains concepts, and helps learners follow custom learning pathways at their own pace.
Microsoft Azure
azure.microsoft.com/en-us/free/studentsAzure for Students provides cloud services, developer tools, and credits for building apps and exploring AI.
Spinning Up
spinningup.openai.com/en/latestSpinning Up provides documentation and learning resources for deep reinforcement learning.
This repository provides a roadmap to becoming an artificial intelligence expert.
Neural Networks: Zero to Hero
karpathy.ai/zero-to-hero.htmlThis course teaches how to build neural networks from scratch in code.
Neural Networks and Deep Learning
github.com/mnielsen/neural-networks-and-deep-l…This repository contains code samples for the book Neural Networks and Deep Learning.
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