NLP-Model-for-Corpus-Similarity
A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet. (by kohjiaxuan)
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) (by CamDavidsonPilon)
NLP-Model-for-Corpus-Similarity | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | |
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1 | 30 | |
9 | 27,236 | |
- | 0.3% | |
0.0 | 0.0 | |
almost 5 years ago | 9 months ago | |
Python | Jupyter Notebook | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NLP-Model-for-Corpus-Similarity
Posts with mentions or reviews of NLP-Model-for-Corpus-Similarity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-24.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Posts with mentions or reviews of Probabilistic-Programming-and-Bayesian-Methods-for-Hackers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-02.
- Probabilistic Programming and Bayesian Methods for Hackers (2013)
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[Q] Bayesian statistics!
Also this is quite nice practical introduction which might help with finding answers to your questions: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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How many of you have used algebra, calculus, geometry, etc in your business careers/the real world?
This is a good intro to probabilistic programming.
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Suggestions for some best books on computer vision
Probabilistic programming is a nice technique to have up your sleeve.
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Bayes examples and study help
+1 for Statistical Rethinking. I’m also partial to Bayesian Methods for Hackers.
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✨ 10 Free Books for Machine Learning & Data Science 📚
🔗 https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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Predicting the distribution of a variable rather than a point estimate
You’re welcome! I would recommend Bayesian Methods for Hackers
- Bayesian Methods for Hackers
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A collaborative book on DeFi
All content is open-source: everyone is free to read, but also to contribute to the book using github. I know of one other book that followed this open-source 'publishing' model and became quite successful eventually through community efforts. I contemplated for a bit to create a book DAO but I think it's going to be overkill :).
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[R] Analysis of Russian vaccine trial outcomes suggests they are lazily faked. Distribution of efficacies across age groups is quite improbable
Jake Vanderplas's Statistics for Hackers presentation is a perfect place to start. Bayesian Methods for Hackers is also very good.
What are some alternatives?
When comparing NLP-Model-for-Corpus-Similarity and Probabilistic-Programming-and-Bayesian-Methods-for-Hackers you can also consider the following projects:
StringDistances.jl - String Distances in Julia
skbel - SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
wordview - A Python package for Exploratory Data Analysis (EDA) for text-based data.
machine-learning-cheat-sheet - Classical equations and diagrams in machine learning
bart-base-jax - JAX implementation of the bart-base model
learnapl - Introduction to Dyalog APL: https://xpqz.github.io/learnapl
NLP-Model-for-Corpus-Similarity vs StringDistances.jl
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs skbel
NLP-Model-for-Corpus-Similarity vs wordview
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs machine-learning-cheat-sheet
NLP-Model-for-Corpus-Similarity vs bart-base-jax
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs learnapl