Alternatives and similar repositories for reliableAI

Users that are interested in reliableAI are comparing it to the libraries listed below

• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated last week
• HazyResearch / fm_data_tasks
  Foundation Models for Data Tasks
  ☆110Updated 2 years ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆59Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆308Updated 6 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆29Updated last year
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆132Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆60Updated 11 months ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆36Updated 9 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• Sungwon-Han / FeatLLM
  ☆41Updated last year
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆78Updated last year
• ZhangTP1996 / TapTap
  ☆67Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆13Updated 4 years ago
• pietrobarbiero / pytorch_explain
  PyTorch Explain: Interpretable Deep Learning in Python.
  ☆164Updated last year
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆242Updated 4 months ago
• microsoft / deep-language-networks
  We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…
  ☆94Updated last year
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆65Updated last year
• target-benchmark / target
  TARGET is a benchmark for evaluating Table Retrieval for Generative Tasks such as Fact Verification and Text-to-SQL
  ☆25Updated 4 months ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 11 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated last week
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆24Updated last year
• microsoft / CoML
  Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.
  ☆98Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆256Updated last month
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆42Updated 3 years ago
• microsoft / ML4C
  [SDM'23] ML4C: Seeing Causality Through Latent Vicinity
  ☆13Updated 3 years ago
• tennisonliu / GOGGLE
  ☆28Updated 2 years ago
• StephLong614 / Causal-disco-LLM-imperfect-experts
  ☆17Updated last year