thibaultlaugel

thibaultlaugel's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k417694.3k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  19.6k382271.6k

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.5k3455335

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook2k24365241

• timtadh/zhang-shasha

  Tree edit distance using the Zhang Shasha algorithm

  Language:Python435133363

• christophM/rulefit

  Python implementation of the rulefit algorithm

  Language:Python4121737114

• mortezamg63/Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch

  3512363

• hendrycks/ethics

  Aligning AI With Shared Human Values (ICLR 2021)

  Language:Python2629744

• maastrichtlawtech/awesome-legal-nlp

  📖 A curated list of LegalNLP resources from all around the web.

  2488130

• AI4LIFE-GROUP/OpenXAI

  OpenXAI : Towards a Transparent Evaluation of Model Explanations

  Language:JavaScript23581640

• FranxYao/GPT-Bargaining

  Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback

  Language:Jupyter Notebook2023018

• clairett/pytorch-sentiment-classification

  LSTM and CNN sentiment analysis

  Language:Python1646263

• 12wang3/rrl

  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

  Language:Python11441837

• xiyanghu/OSDT

  Optimal Sparse Decision Trees

  Language:Python1016811

• soda-inria/carte

  Repository for CARTE: Context-Aware Representation of Table Entries

  Language:Python9010511

• corels/pycorels

  Public home of pycorels, the python binding to CORELS

  Language:Python7562014

• mertyg/post-hoc-cbm

  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023

  Language:Python721311

• huaxiuyao/C-Mixup

  C-Mixup for NeurIPS 2022

  Language:Python66324

• Eligijus112/decision-tree-python

  Decision tree implementation from scratch

  Language:Jupyter Notebook565250

• hoonto/jqgram

  JQGram tree edit distance approximation, Javascript port of PyGram with some additional functionality

  Language:JavaScript565211

• WittleWolfie/PyGram

  An efficient approximation for tree edit-distance.

  Language:Python46426

• MAIF/arta

  A Python Rules Engine - Make rule handling simple

  Language:Python355166

• vidalt/OCEAN

  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)

  Language:Python20206

• amparore/leaf

  A Python framework for the quantitative evaluation of eXplainable AI methods

  Language:Jupyter Notebook17178

• liyu10000/DeepLDA

  End-to-end Deep Linear Discriminant Analysis in Pytorch.

  Language:Python17263

• thdiaman/pqgrams

  An efficient approximation for tree edit-distance.

  Language:Python8101

• federicoruggeri/Memnet_ToS

  Memory networks for consumer protection:unfairness exposed

  Language:Python5101

• samuel-deng/Ensuring-Fairness-Beyond-the-Training-Data

  Linear programs to check for machine learning fairness.

  Language:Jupyter Notebook51

• madiganbrodsky/vague_contracts

  Language:JavaScript3201

• axa-rev-research/ROAD-fairness

  Code for the public research paper "On the Fairness ROAD"

  Language:Python1101