Julian Späth's starred repositories
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Scrapegraph-ai
Python scraper based on AI
khoj
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
secret-llama
Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.
fallout2-ce
Fallout 2 for modern operating systems
great-tables
Make awesome display tables using Python.
ydata-synthetic
Synthetic data generators for tabular and time-series data
awesome-local-ai
An awesome repository of local AI tools
seismometer
AI model evaluation with a focus on healthcare
missForest
missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.
MissForest
Arguably the best missing values imputation method.
apple-examples
A list of repositories with examples for different Apple frameworks