Alternatives and similar repositories for CS5340-notebooks

Users that are interested in CS5340-notebooks are comparing it to the libraries listed below

• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆123Updated 7 years ago
• tengyuma / cs229m_notes
  ☆242Updated 3 years ago
• chendl02 / Awesome-LLM-Causal-Reasoning
  [NAACL 25 main] Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.
  ☆115Updated 4 months ago
• neubig / anlp-code
  ☆190Updated 2 years ago
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆154Updated 3 years ago
• ICLR / Master-Template
  Template and style files for ICLR
  ☆259Updated 5 months ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆133Updated last year
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆134Updated 2 years ago
• dtsip / in-context-learning
  ☆241Updated last year
• Open-Source-ML / awesome-human-centered-ai
  A curated list of awesome human-centered AI resources.
  ☆49Updated 3 years ago
• THUMNLab / CurML
  ☆97Updated 2 months ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆124Updated 2 years ago
• ranpox / openreview-visualization
  OpenReivew Submission Visualization (ICLR 2024/2025)
  ☆154Updated last year
• 12wang3 / rrl
  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…
  ☆120Updated last year
• zhijing-jin / CausalNLP_Papers
  A reading list for papers on causality for natural language processing (NLP)
  ☆684Updated 8 months ago
• anpwu / Awesome-Causal-LLM
  ☆44Updated last year
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆67Updated last year
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆390Updated last month
• luciusssss / CS224W-Colab
  Solutions for CS224W Winter 2021 Colab
  ☆171Updated last year
• tranhungnghiep / AI-Conference-Info
  Extensive acceptance rates and information of main AI conferences
  ☆166Updated last year
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆75Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆59Updated 2 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆95Updated 3 months ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆180Updated last year
• tatsu-lab / conformal-factual-lm
  ☆32Updated last year
• flecue / xai-aaai2022
  ☆31Updated 3 years ago
• azminewasi / Awesome-LLMs-ICLR-24
  It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) i…
  ☆66Updated last year
• archon159 / SELOR
  ☆41Updated 2 years ago
• EdisonLeeeee / ICLR2023-OpenReviewData
  ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
  ☆107Updated 3 years ago
• hy-zhao23 / Explainability-for-Large-Language-Models
  ☆158Updated 2 years ago