ronakdm / ml-interviews

Related projects ⓘ

Alternatives and complementary repositories for ml-interviews

• ykwon0407 / dataoob
  Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
  ☆17Updated last year
• pietrolesci / memorisation-profiles
  This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".
  ☆14Updated 3 weeks ago
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆22Updated 10 months ago
• uvanlp / valda
  A Python Data Valuation Package
  ☆28Updated last year
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆27Updated 2 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆43Updated 5 months ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆86Updated 6 months ago
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆31Updated last month
• zlin7 / UQ-NLG
  ☆75Updated 4 months ago
• aadityasingh / icl-dynamics
  ☆15Updated 7 months ago
• maxxu05 / openreview_summarizereviews
  Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview
  ☆19Updated 11 months ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆94Updated last year
• kawine / dataset_difficulty
  "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)
  ☆82Updated last year
• tatsu-lab / conformal-factual-lm
  ☆15Updated 9 months ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆18Updated last week
• UCSB-NLP-Chang / llm_uncertainty
  ☆26Updated 9 months ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆86Updated 3 months ago
• Yu-Group / clinical-rule-vetting
  Learning clinical-decision rules with interpretable models.
  ☆20Updated last year
• frankaging / BERT-LRP
  On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
  ☆30Updated last year
• stellalisy / mediQ
  ☆11Updated 3 months ago
• JieyuZ2 / Awesome-Weak-Supervision
  A curated list of programmatic weak supervision papers and resources
  ☆186Updated last year
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆23Updated last year
• mmcdermott / How-to-PhD
  A collection of resources and information for concrete skills that are helpful when pursuing a PhD in computer science (specifically in M…
  ☆21Updated last year
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆120Updated this week
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆31Updated last week
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆26Updated 3 months ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆73Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆68Updated 8 months ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆85Updated 3 years ago
• kherud / neural-additive-models-pt
  PyTorch implementation for Neural Additive Models
  ☆23Updated 3 years ago