Learn Machine Learning

learnmachinelearning@sh.itjust.works

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sriram1983007@sh.itjust.worksEnglish · 6 days ago

Same model, same training — 99.5% on one task, 77.8% on the other. Is that a data problem, or a "keep models narrow" problem?

sh.itjust.works

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Same model, same training — 99.5% on one task, 77.8% on the other. Is that a data problem, or a "keep models narrow" problem?

sh.itjust.works

sriram1983007@sh.itjust.worksEnglish · 6 days ago

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pcouy@lemmy.pierre-couy.frEnglish · 5 months ago

Currently experimenting with exploration policies for deep RL on Super Mario Bros - Agent is able to beat all levels I threw at it - You can watch the AI learn live

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Currently experimenting with exploration policies for deep RL on Super Mario Bros - Agent is able to beat all levels I threw at it - You can watch the AI learn live

pcouy@lemmy.pierre-couy.frEnglish · 5 months ago

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ylai@lemmy.mlEnglish · 3 years ago

Google open sources tools to support AI model development

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Google open sources tools to support AI model development

ylai@lemmy.mlEnglish · 3 years ago

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ylai@lemmy.mlEnglish · 3 years ago

Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem

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Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem

ylai@lemmy.mlEnglish · 3 years ago

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ylai@lemmy.mlEnglish · 3 years ago

Understanding GPU Memory 2: Finding and Removing Reference Cycles

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Understanding GPU Memory 2: Finding and Removing Reference Cycles

ylai@lemmy.mlEnglish · 3 years ago

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ylai@lemmy.mlEnglish · 3 years ago

PyTorch: Compiling NumPy code into C++ or CUDA via torch.compile

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PyTorch: Compiling NumPy code into C++ or CUDA via torch.compile

ylai@lemmy.mlEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

Introduction to Kernel Methods for Machine Learning

seis.bristol.ac.uk

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Introduction to Kernel Methods for Machine Learning

seis.bristol.ac.uk

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

The Kernel Cookbook: Advice on Covariance functions

www.cs.toronto.edu

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The Kernel Cookbook: Advice on Covariance functions

www.cs.toronto.edu

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

An Intuitive Tutorial to Gaussian Processes Regression

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An Intuitive Tutorial to Gaussian Processes Regression

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] Understanding UMAP - Google PAIR

pair-code.github.io

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[Resource] Understanding UMAP - Google PAIR

pair-code.github.io

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] MIT OpenCourseWare: Introduction To Machine Learning

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[Resource] MIT OpenCourseWare: Introduction To Machine Learning

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] Style Guide for Python Code: PEP 8

peps.python.org

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[Resource] Style Guide for Python Code: PEP 8

peps.python.org

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] MIT OpenCourseWare: Statistical Learning Theory

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[Resource] MIT OpenCourseWare: Statistical Learning Theory

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] MIT OpenCourseWare: Mathematics Of Machine Learning

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[Resource] MIT OpenCourseWare: Mathematics Of Machine Learning

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] Durham University Materials for COMP3547 (Deep Learning) and COMP3667 (Reinforcement Learning) from Dr. Robert Lieck

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[Resource] Durham University Materials for COMP3547 (Deep Learning) and COMP3667 (Reinforcement Learning) from Dr. Robert Lieck

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksM · 3 years ago

[Resource] Rules of Machine Learning from Google

developers.google.com

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[Resource] Rules of Machine Learning from Google

developers.google.com

ShadowAether@sh.itjust.worksM · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] Coding Practices for Python/ML

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[Resource] Coding Practices for Python/ML

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] Tutorial: Image Recognition with CNN in Matlab

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[Resource] Tutorial: Image Recognition with CNN in Matlab

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksMEnglish · 3 years ago

[Resource] Tutorial: State of Charge Estimation with EKF and SVSF in Matlab

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[Resource] Tutorial: State of Charge Estimation with EKF and SVSF in Matlab

ShadowAether@sh.itjust.worksMEnglish · 3 years ago

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ShadowAether@sh.itjust.worksM · 3 years ago

[Resource] Standford University Cheat Sheets for ML (web version)

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[Resource] Standford University Cheat Sheets for ML (web version)

ShadowAether@sh.itjust.worksM · 3 years ago

0

Learn Machine Learning@sh.itjust.works

learnmachinelearning@sh.itjust.works

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Welcome! This is a place for people to learn more about machine learning techniques, discuss applications and ask questions.

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