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nitinkaushik01

Deep_and_Machine_Learning_Projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

ListsUse casesJupyter Notebook
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659
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378
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Created 2019-06-21 · Updated 2026-10-08 · #15374 today
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nitinkaushik01

nitinkaushik01/Deep_and_Machine_Learning_Projects is ranked 15,374 with 659 stars.

Same-category comparison

nitinkaushik01/Deep_and_Machine_Learning_Projects is ranked 15,374 among these 8 peers; onejune2018/Awesome-LLM-Eval is ranked 15,375.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryLists
SubcategoryUse cases
Stars659
Forks378
Contributors1
Created date2019-06-21
Updated date2026-10-08
Stars in 1 day0
Stars in 7 days0
Rank15,374
Previous rank15,188
Rank change-186
7-day stars rank14,962
Previous 7-day stars rank11,077
7-day stars rank change-3,885
Total stars rank15,587
Previous total stars rank15,560
Total stars rank change-27
README summary

Deep_and_Machine_Learning_Projects This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

Frequently asked questions

How many stars and forks are recorded?

nitinkaushik01/Deep_and_Machine_Learning_Projects has 659 stars and 378 forks.

What is the repository rank?

nitinkaushik01/Deep_and_Machine_Learning_Projects is ranked 15,374.

What language and category are recorded?

nitinkaushik01/Deep_and_Machine_Learning_Projects has 659 stars, uses Jupyter Notebook and belongs to Lists.

Which repository is closest in rank?

nitinkaushik01/Deep_and_Machine_Learning_Projects is compared with onejune2018/Awesome-LLM-Eval, ranked 15,375 with 659 stars.

README

Deep_and_Machine_Learning_Projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

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