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Mortemus763/Noteworthy

Notebook

• Mortemus763
·
• Opened 
  on Jan 29, 2025
·
• #2

Mortemus763/Noteworthy

Notebook

• Mortemus763
·
• Opened 
  on Jan 29, 2025
·
• #1

JanhaviDadhania/Seldon-The-external-brain

what if notebook LM is implemented as seldon graphs

each chunk of idea is a node, and related with others. LLM can generate a new node from previous node, it takes context of previous node by traversing back fro mit.

• JanhaviDadhania
·
• Opened 
  on Apr 26
·
• #21

SeismicSource/sourcespec

Sourcespec v2 notebooks

Claudio, When you are happy with the state of v2, we should add a notebooks folder (including the required test data). Some possible notebooks: - General notebook demonstrating all aspects of ...

• krisvanneste
·
• 2
·
• Opened 
  on Dec 17, 2025
·
• #80

ibaiGorordo/ONNX-SAM2-Segment-Anything

SAM3 conversion notebook

Is it possible to create a notebook that can convert SAM 3 model into encoder decoder similar to the one here?

• btbrandon
·
• Opened 
  on Nov 25, 2025
·
• #22

ayrtondenner/aws-rag-bot-v2

Run and validate Jupyter notebook experiments

Run the experiments defined in the Jupyter notebooks, verify they execute successfully, and review their results. Check that the outputs and metrics are as expected.

validation

• ayrtondenner
·
• Opened 
  on Mar 1
·
• #8

yairchu/moops

Optuna integration

- Make an example A which tries to optimize something - Generate infrastructure to optimize notebook parameters with Optuna - Make an example B that searches for parameters for A using this infrastructure

enhancement

help wanted

• yairchu
·
• Opened 
  8 days ago
·
• #17

ipython-contrib/jupyter_contrib_nbextensions

handling `notebook_loaded.Notebook` events correctly

As discussed in #879, sometimes (particularly with big notebooks, slow connections, etc), nbextensions get loaded before the notebook has finished loading. In other cases, the notebook may have fully ...

• jcb91
·
• 10
·
• Opened 
  on Feb 12, 2017
·
• #885

datafromthepipe/utility-telemetry-lakehouse

Week 6: Build Silver layer with PySpark window functions

Clean and transform Bronze data in Databricks. Add window function to detect rapid level rises (lag, partitionBy, orderBy). Flag anomaly rows with rapid_rise_flag column. Push 02_silver_cleaning.py to notebooks

• datafromthepipe
·
• Opened 
  6 days ago
·
• #5

DHI/mikeio

Review 3D geometry plotting in notebooks

• ecomodeller
·
• Opened 
  on Mar 13
·
• #932

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