amelie-girard7

amelie-girard7's Stars

• princeton-nlp/SWE-agent

  [NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.

  Language:Python13.8k1.4k

• pranaysy/cognestic22_multimodal_dcm

  Dynamic Causal Modelling (DCM) of fMRI and M/EEG face-processing data

  Language:MATLAB8

• statmlben/nonlinear-causal

  nl-causal: nonlinear causal inference based on IV regression in Python

  Language:Python14

• benelsner82/causalinfUCD

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• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k782

• amelie-girard7/Natural-Language-Processing

  This repository holds my personal notes from the Natural Language Processing specialization offered by Deep Learning.

  Language:Jupyter Notebook1

• amelie-girard7/Machine_Learning_For_NLP

  Language:Jupyter Notebook1

• amelie-girard7/Timetravel

  This repository is an exploration of counterfactual rewriting

  Language:Jupyter Notebook1

• amelie-girard7/Transformers_in_a_Nutshell

  This repository is a simplified presentation of transformers presented by Prof Massimo Piccardi

  Language:Jupyter Notebook1

• ugne-sak/DRL4CD_thesis

  Master's Thesis: Denoising Representation Learning for Causal Discovery

  Language:Jupyter Notebook2

• ShubhamRaheja/identifying-causality

  Understanding whether ML and DL models can identify the inherent causal structure in real-world cause-effect data.

  Language:Python2

• EWeinstein/HCM

  Repository for the paper "Hierarchical Causal Models", Weinstein and Blei, 2024.

  Language:Jupyter Notebook7

• JonnyPhillips/Causal_Critiques_2020

  IPSA-USP Summer School, Making Causal Critiques 2020

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• SoniyaGuptaRawal/ChicagoCausalML

  Language:R2

• PatriciaLucas/CausalFeatureSelection

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• IntelLabs/causality-lab

  Causal discovery algorithms and tools for implementing new ones

  Language:Jupyter Notebook19527

• cobleg/CausalGraphs

  My notes about causal graphs

  Language:JavaScript2

• ainaimi/mlci_shortcourse

  Language:R1318

• jhrcook/the-effect-notes

  Notes on learning causal inference from "The Effect" by Nick Huntington-Klein.

  Language:Jupyter Notebook9

• sachsmc/causaloptim

  An Interface to Specify Causal Graphs and Compute Balke Bounds

  Language:R155

• jarrycyx/UNN

  Causal Neural Nerwork

  Language:Jupyter Notebook859

• rshingaki/estimating-joint-PO

  Code for "Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information"

  Language:Jupyter Notebook3

• samueller/ate-bounds

  Bounds on Probabilities of Causation when only ATE or ATE and observational data are available

  Language:Python2

• mariacuellar/pcausation

  R package: Semiparametirc estimation of the probability of causation.

  Language:R2

• onepounchman/Causal-Retionalization

  Language:Python5

• IDSIA-papers/2021-NeurIPSWHY-causalEM

  Language:Java3

• inigo-jauregi/t3l

  T3L: Translation-and-Test Transfer Learning for Cross-Lingual Text Classification

  Language:Python5

• zhijing-jin/CausalNLP_Papers

  A reading list for papers on causality for natural language processing (NLP)

  51160

• microsoft/autogen

  A programming framework for agentic AI 🤖

  Language:Python34.9k5.1k

• f-dangel/backpack

  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

  Language:Python56256