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Starred repositories
🦜🔗 Build context-aware reasoning applications
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Visualizations for machine learning datasets
Flax is a neural network library for JAX that is designed for flexibility.
A scikit-learn compatible neural network library that wraps PyTorch
Efficient Image Captioning code in Torch, runs on GPU
A collection of infrastructure and tools for research in neural network interpretability.
A Bulletproof Way to Generate Structured JSON from Language Models
A better notebook for Scala (and more)
Probabilistic reasoning and statistical analysis in TensorFlow
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Fast and flexible AutoML with learning guarantees.
Productivity Tools for Plotly + Pandas
A python library for decision tree visualization and model interpretation.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
MTEB: Massive Text Embedding Benchmark
Gallery of OSMnx tutorials, usage examples, and feature demonstations.
Developer APIs to Accelerate LLM Projects