kyaiooiayk Goto Github PK

ab-testing-notes

Notes, tutorials, code snippets and templates focused on AB testing for Machine Learning

ai-ml-learning-tutorials-collection

Learning about AI - collection of scripts, tutorials and templates

autoencoders-notes

Notes, tutorials, code snippets and templates focused on Autoencoders for Machine Learning

automated-machine-learning-notes

Notes, tutorials, code snippets and templates focused on Automated Machine Learning

awesome-competitive-data-science-hackerrank

awesome-competitive-programming-in-python

LeetCode, TestDome, Cheatsheet

awesome-data-science-and-machine-learning-cheatsheets

Links to freely available data science cheat sheets

awesome-data-science-machine-learning-resources

Links to free (mostly?) resources for learning about Data Science

awesome-full-stack-data-scientist-resources

Resources to help you become a FSDS - Full Stack Data Scientist

awesome-llm-large-language-models-notes

What can I do with a LLM model?

awesome-ml-lessons-learnt

Awesome ML Lessons Learnt

awesome-ml-projects

Learn it by doing it - E2E projects - From PoC to Deployment

awesome-optimisation-notes

Single/Multi-Objective, gradient-based and free optimisation methods

awesome-python-programming-notes

Python programming tutorials | lessons | code snippets | curiosities | study notes

awesome-study-notes-on-ai-ml-dl

Free study notes with references taken with google slides

bayesian-theory-notes

Notes, tutorials, code snippets and templates focused on Beysian Theory for Machine Learning

catboost-notes

Notes, tutorials, code snippets and templates focused on CatBoost for Machine Learning.

cheap-ml-models

Optimising train, inference and throughput of expensive ML models

checklist-4-ml-e2e-projects

Checklist for Machine Learning Projects

ci-cd-pipeline-with-github-actions

classification-notes

Notes, tutorials, code snippets and templates focused on Classification

clustering-notes

Notes, tutorials, code snippets and templates focused on Clustering for Machine Learning

cv-computer-vision-notes

Notes, tutorials, code snippets and templates focused on (CV) Computer Vision for Machine Learning

dask

Dask

data-format-notes

Notes, tutorials, code snippets and templates focused on how to read files in different formats

decision-trees-notes

Notes, tutorials, code snippets and templates focused on Decision Trees for Machine Learning

deep-learning-model-zoo

References for deep learning models implemented in TensorFlow or PyTorch

dimensionality-reduction-notes

Notes, tutorials, code snippets and templates focused on dimensionality reduction methods for Machine Learning

docker-notes

Docker-Notes

donts-in-machine-learning-notes

Notes, tutorials, code snippets and templates focused on Don'ts for Machine Learning