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py-why / EconML

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

▲ ~12/7d ★ 4.8k Jupyter Notebook today
scikit-learn-contrib / MAPIE

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

▲ ~5/7d ★ 1.6k Jupyter Notebook 3d ago
petercorke / RVC3-python

Code examples for Robotics, Vision & Control 3rd edition in Python

▲ ~2/7d ★ 786 Jupyter Notebook 7d ago
Jev-Engineering / cookbook

Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control

▲ ~2/7d ★ 27 Jupyter Notebook today
FurkanGozukara / Stable-Diffusion

FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod

▲ ~0/7d ★ 2.8k Jupyter Notebook 3d ago
NirDiamant / Controllable-RAG-Agent

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.