Stars
Jupyter notebooks to illustrate spatial regression functionality
ExpliCa (Explicit Causality) is a dataset designed to evaluate models on commonsense causal reasoning.
[NAACL 25 main] Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.
Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.
Defines the metadata standard for sociome data
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Grokking the Coding Interview: Patterns for Coding Questions Alternative
A curated list of causal inference libraries, resources, and applications.
A Survey on Causal Generative Modeling (TMLR 2024)
Notebooks for Applied Causal Inference Powered by ML and AI
A list of (post-hoc) XAI for time series
A game theoretic approach to explain the output of any machine learning model.
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…
MODNet: a framework for machine learning materials properties
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
A curated list of awesome LLM agents frameworks.
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
🐍 The official Python client library for Google's discovery based APIs.