Alternatives and similar repositories for LLM-Tabular-Shifts

Users that are interested in LLM-Tabular-Shifts are comparing it to the libraries listed below

• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 7 months ago
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• yanyanSann / PromptTPP
  PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023
  ☆14Updated 2 years ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆59Updated 2 years ago
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 3 years ago
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆41Updated 2 years ago
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆34Updated 2 years ago
• edebrouwer / cfqp
  Deep Counterfactual Prediction with Categorical Backward Variables
  ☆12Updated 2 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• layer6ai-labs / WinIT
  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
  ☆26Updated 2 years ago
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 3 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆13Updated last year
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆29Updated last year
• ansonb / FeTA_TMLR
  This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
  ☆12Updated 3 years ago
• StephLong614 / Causal-disco-LLM-imperfect-experts
  ☆17Updated last year
• yushundong / REDRESS
  Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.
  ☆12Updated 3 years ago
• UConn-DSIS / Survey-of-Continual-Learning-on-Graphs
  Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"
  ☆51Updated last year
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• yzhang1918 / cikm2022rudi
  Codes and data for CIKM 2022 paper "RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation"
  ☆12Updated 3 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆29Updated 8 months ago
• Open-Social-World / autolibra
  AutoLibra: Metric Induction for Agents from Open-Ended Human Feedback
  ☆17Updated 3 months ago
• BaeHeeSun / NPC
  ☆25Updated last year
• ventr1c / RES-GCL
  An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)
  ☆11Updated 2 years ago
• PKU-ML / G1
  ☆35Updated 7 months ago
• hmorioka / CCL
  Connectivity-contrastive learning (CCL)
  ☆11Updated 2 years ago
• anpwu / Awesome-Causal-LLM
  ☆43Updated last year
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆22Updated 3 years ago
• lingchen0331 / UQ_ICL
  Uncertainty quantification for in-context learning of large language models
  ☆16Updated last year
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago