Alternatives and similar repositories for First-AI4People-Workshop:

Users that are interested in First-AI4People-Workshop are comparing it to the libraries listed below

• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated last year
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆52Updated 2 years ago
• Networks-Learning / counterfactual-llms
  Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
  ☆23Updated 2 months ago
• jesmith14 / REAL-ML
  The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to hel…
  ☆51Updated 2 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆46Updated last year
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆23Updated 3 years ago
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆30Updated 3 years ago
• poloclub / neuro-cartography
  Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
  ☆15Updated 2 years ago
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆28Updated 10 months ago
• rasmusmhl / course-deep-unsupervised-learning
  ☆14Updated 5 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• visinf / fast-axiomatic-attribution
  Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
  ☆15Updated last year
• jpmorganchase / cf-shap
  Counterfactual SHAP: a framework for counterfactual feature importance
  ☆16Updated last year
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• uva-fact-ai-course / uva-fact-ai-course
  This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…
  ☆33Updated 2 years ago
• grazianomita / machine_learning_interpretability_papers
  This is a public collection of papers related to machine learning model interpretability.
  ☆25Updated 3 years ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 6 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 3 years ago
• facebookresearch / alma
  Anytime Learning At Macroscale
  ☆9Updated 3 years ago
• markdtw / temperature-scaling-tensorflow
  On Calibration of Modern Neural Networks - tensorflow implementation
  ☆30Updated 6 years ago
• i-machine-think / awesome-compositionality
  A list of resources dedicated to compositionality
  ☆14Updated 5 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• ContinualAI / wiki
  ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
  ☆49Updated 2 years ago
• samiraabnar / Bridge
  Making a bridge between NLP models and Brain data
  ☆18Updated 4 years ago
• lvwerra / deep-math
  Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"
  ☆29Updated last year
• ganguli-lab / degrees-of-freedom
  ☆36Updated 2 years ago
• gregdeon / spotlight
  Implementation of the spotlight: a method for discovering systematic errors in deep learning models
  ☆11Updated 3 years ago
• psoulos / role-decomposition
  ☆11Updated 4 years ago
• michael-aloys / awesome-weak-supervision
  ☆35Updated last year