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Embedding Markdown Files in a Streamlit Dashboard
Embedding Markdown Files in a Streamlit Dashboard
Simplify Streamlit app code by moving longer static contents to Markdown files.
Marcin Kozak
May 27
An Introduction to Reinforcement Learning
An Introduction to Reinforcement Learning
A deep dive into the rudiments of reinforcement learning, including model-based and model-free methods
Angjelin Hila
May 27
Latest
Tune In: Decision Threshold Optimization with scikit-learn’s TunedThresholdClassifierCV
Tune In: Decision Threshold Optimization with scikit-learn’s TunedThresholdClassifierCV
Use cases and code to explore the new class that helps tune decision thresholds in scikit-learn.
Kevin Arvai
May 27
Physics-Informed Neural Network with Forcing Function
Physics-Informed Neural Network with Forcing Function
Solving differential equations directly with neural networks (with code)
John Morrow
May 27
Quantize Llama 3 8B with Bitsandbytes to Preserve Its Accuracy
Quantize Llama 3 8B with Bitsandbytes to Preserve Its Accuracy
Llama 2 vs. Llama 3 vs. Mistral 7B, quantized with GPTQ and Bitsandbytes
Benjamin Marie
May 27
Intuitive Temporal DataFrame Filtration
Intuitive Temporal DataFrame Filtration
Get rid of your ineffective code for filtering time series data
Yousef Nami
May 27
Implement a Star Schema for Power BI Semantic Model: Step-by-Step Guide
Implement a Star Schema for Power BI Semantic Model: Step-by-Step Guide
Star schema is a well-known concept in dimensional modeling. In this article, you’ll learn how to implement it by using Power Query
Nikola Ilic
May 27
Dask DataFrame is Fast Now
Dask DataFrame is Fast Now
How Dask enables processing data at terabyte scale efficiently
Patrick Hoefler
May 27
Passing Functions to Test Files in Python Pytest
Passing Functions to Test Files in Python Pytest
This is a very frequent question, but the solution is very simple: use a fixture.
Marcin Kozak
May 27
Why Representation Finetuning is the Most Efficient Approach Today?
Why Representation Finetuning is the Most Efficient Approach Today?
A Step-by-Step Guide to Representation Finetuning LLAMA3
Yanli Liu
May 26
How to Reduce Embedding Size and Increase RAG Retrieval Speed
How to Reduce Embedding Size and Increase RAG Retrieval Speed
Flexible text embedding with Matryoshka Representation Learning (MRL)
Dr. Leon Eversberg
May 26
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