mpolinowski / python-scikitlearn-cheatsheetLinks
SciKit Learn Machine Learning Cheat Sheet
☆20Updated 2 years ago
Alternatives and similar repositories for python-scikitlearn-cheatsheet
Users that are interested in python-scikitlearn-cheatsheet are comparing it to the libraries listed below
Sorting:
- Learn how to create reliable ML systems by testing code, data and models.☆90Updated 3 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆233Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆93Updated 3 years ago
- Sources for the book "Machine Learning in Production"☆136Updated 5 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 3 years ago
- This is the corresponding code for the book Transformers in Action☆121Updated 2 months ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- Deep Learning for Computer Vision☆60Updated last year
- Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.☆122Updated last year
- Effective and Scalable Recommendation Systems☆60Updated last year
- A dataset with chess board images in various positions.☆16Updated 3 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- 📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.☆103Updated 3 months ago
- RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems☆141Updated 11 months ago
- zero-to-lightning☆31Updated last year
- The repo associated with the Manning Publication☆124Updated 9 months ago
- ☆149Updated last year
- Seemless interface of using PyTOrch distributed with Jupyter notebooks☆57Updated 3 months ago
- Notes for courses by deeplearning.ai☆88Updated 2 months ago
- ☆77Updated last year
- ML/DL Math and Method notes☆65Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- Explore a curated collection of exceptional open-source libraries for generative AI meticulously reviewed or slated for review by The AI …☆60Updated last year
- LLM Engineering CrashCourse☆103Updated last year
- ☆10Updated 2 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year
- a distributed end-to-end image classification system using kubernetes☆13Updated last year
- Study the temporal performance degradation of machine learning models.☆16Updated last year
- Material for the series of seminars on Large Language Models☆34Updated last year
- An repository containing all the LLM notebooks with tutorial and projects☆133Updated 2 weeks ago