Alternatives and similar repositories for XAI_From_Classical_Models_to_LLMs

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

• jacobmarks / awesome-neurips-2023
  Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
  ☆119Updated last year
• ShadeAlsha / ICon
  ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"
  ☆80Updated 2 weeks ago
• requeima / llm_processes
  ☆59Updated last month
• MrPio / KAN-Continual_Learning_tests
  Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
  ☆40Updated 2 months ago
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆48Updated 4 months ago
• hkproj / dpo-notes
  Notes on Direct Preference Optimization
  ☆19Updated last year
• MinkaiXu / TabDiff
  [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
  ☆71Updated last month
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆62Updated 4 months ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆58Updated last year
• lanxiang1017 / Language-Modeling-on-Tabular-Data-Survey
  A collection of AWESOME language modeling techniques on tabular data applications.
  ☆30Updated 6 months ago
• eemlcommunity / PracticalSessions2024
  ☆77Updated 9 months ago
• wiseodd / lapeft-bayesopt
  Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
  ☆19Updated 9 months ago
• CMU-MultiComp-Lab / adv-mmml-course
  ☆37Updated last year
• Animadversio / TransformerFromScratch
  Tutorial for Harvard Medical School ML from Scratch Series: Transformer from Scratch. Demo the usage of transformer in various domains: M…
  ☆45Updated last year
• aju22 / DDPM
  This is an easy to understand, simplified, broken-down implementation of Diffusion Models written in PyTorch. The architecture is borrowe…
  ☆27Updated last year
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆28Updated last year
• uclaml / MoE
  Towards Understanding the Mixture-of-Experts Layer in Deep Learning
  ☆29Updated last year
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• Kairong-Han / Causal_Agent
  Causal Agent based on Large Language Model
  ☆45Updated 8 months ago
• minjiyoon / MMGL
  Multimodal Graph Learning: how to encode multiple multimodal neighbors with their relations into LLMs
  ☆61Updated 10 months ago
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated 11 months ago
• stanford-cs336 / spring2025-lectures
  ☆108Updated this week
• microsoft / LLM4ScientificDiscovery
  Call for participation in the impact of LLM for scientific discovery
  ☆69Updated last year
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated 6 months ago
• xbresson / CS5284_2024
  NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024
  ☆71Updated 6 months ago
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆89Updated last year
• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆31Updated last week
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆55Updated 2 months 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…
  ☆61Updated last year
• ChrisD-7 / Fraud-Detection-in-Supply-Chains-with-Kolmogorov-Arnold-Networks
  An attempt to use KAN
  ☆12Updated 11 months ago