Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
Repository Index
47,133 repositories indexed
97–120 of 397 · Most stars
Low-code framework for building custom LLMs, neural networks, and other AI models
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
Translated🚀 fullstack tutorial 2022, backend tech stack / path to becoming an architect / full-stack development community, spring recruitment / autumn recruitment / campus recruitment / interviews
- skill-tree
- java
- fullstack-developer
- computer-science
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Refine high-quality datasets and visual AI models
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
TranslatedCrash Course Computer Science (5,090,000 views) (40 episodes in total, each 10 minutes) Translation completed in 2018. The comment section has a lot of praise
- cs
- computer-science
- crash-course
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
- data-science
- machine-learning-production
- mlops
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
TranslatedA comprehensive summary of computer fundamentals interview questions (computer networks / operating systems / databases / Git...), including detailed follow-up questions and answers; everything is in the form of [question + follow-up + answer], ready to use right away and aimed directly at interviews at major internet companies; can be used for mock interviews, review before interviews, and preparing quickly for interviews in a short time...
- interview
- computer-science
- computer-network
- operating-system
Data science interview questions and answers
- data-science
- machine-learning
- interview-questions
- data-science-interviews
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification