AI Rank
中文
← Open Source
WillKoehrsen

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms.

TutorialsML/AI fundamentalsJupyter Notebook
Open on GitHub
Momentum
+0stars in 24 hours0.0%
642
Stars
313
Forks
+1
This week
1
Contributors
Created 2018-06-22 · Updated 2026-10-11 · #15629 today
Top developers
WillKoehrsen

WillKoehrsen/hyperparameter-optimization is ranked 15,629 with 642 stars.

Same-category comparison

WillKoehrsen/hyperparameter-optimization is ranked 15,629 among these 8 peers; DrHazemAli/enterprise-system-design is ranked 15,625.

Same-category comparison
NameRankMetrics
HeroKillerEver/coursera-deep-learning15,610
Language:
Jupyter Notebook
Stars:
643
Forks:
618
Description:
Solutions to all quiz and all the programming assignments!!.
predibase/llm_distillation_playbook15,621
Language:
Jupyter Notebook
Stars:
643
Forks:
61
Description:
Best practices for distilling large language models.
zakirullin/gpt-go15,623
Language:
Go
Stars:
643
Forks:
43
Description:
Tiny GPT implemented from scratch in pure Go. Optimized for understanding. Trained on Jules Verne books.
DrHazemAli/enterprise-system-design15,625
Stars:
642
Forks:
132
Description:
A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure.
ChileWang0228/Deep-Learning-With-Python15,640
Language:
Jupyter Notebook
Stars:
641
Forks:
200
ChrisHayduk/minAlphaFold215,641
Language:
Python
Stars:
641
Forks:
75
Description:
A minimal PyTorch re-implementation of AlphaFold2's model & training.
earhian/Humpback-Whale-Identification-1st-15,647
Language:
Python
Stars:
641
Forks:
180
Description:
https://www.kaggle.com/c/humpback-whale-identification.
microsoft/PodcastCopilot15,652
Language:
Python
Stars:
641
Forks:
129
Description:
Build 2023 demo.
Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryTutorials
SubcategoryML/AI fundamentals
KeywordsBayesian, Optimization
Stars642
Forks313
Contributors1
Created date2018-06-22
Updated date2026-10-11
Stars in 1 day0
Stars in 7 days1
Rank15,629
Previous rank15,441
Rank change-188
7-day stars rank11,071
Previous 7-day stars rank11,137
7-day stars rank change66
Total stars rank15,924
Previous total stars rank15,896
Total stars rank change-28
CountryUSA
Frequently asked questions

How many stars and forks are recorded?

WillKoehrsen/hyperparameter-optimization has 642 stars and 313 forks.

What is the repository rank?

WillKoehrsen/hyperparameter-optimization is ranked 15,629.

What language and category are recorded?

WillKoehrsen/hyperparameter-optimization has 642 stars, uses Jupyter Notebook and belongs to Tutorials.

Which repository is closest in rank?

WillKoehrsen/hyperparameter-optimization is compared with DrHazemAli/enterprise-system-design, ranked 15,625 with 642 stars.

README

hyperparameter-optimization

Implementing different approaches to hyperparameter optimization

Nearby in the ranking
Similar items