Alternatives and similar repositories for QuickTune

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

• linusericsson / einspace
  Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"
  ☆28Updated 10 months ago
• layer6ai-labs / TabDPT-inference
  Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"
  ☆55Updated last week
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆163Updated last year
• automl / quicktunetool
  A framework for QuickTune
  ☆16Updated 7 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆86Updated 5 months ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆102Updated 2 weeks ago
• hsouri / BayesianTransferLearning
  ☆108Updated 2 years ago
• sjunhongshen / DASH
  ☆23Updated 2 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated 2 months ago
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆167Updated last month
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆77Updated this week
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆21Updated 4 months ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 11 months ago
• automl / lcpfn
  ☆17Updated 10 months ago
• suinleelab / vit-shapley
  ☆35Updated last year
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆104Updated last year
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 5 months ago
• google-research / optformer
  ☆228Updated 2 weeks ago
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆55Updated 8 months ago
• drewprinster / conformal-mfcs
  Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…
  ☆27Updated last year
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆67Updated 2 years ago
• jjbrophy47 / ibug
  Instance-based uncertainty estimation for gradient-boosted regression trees
  ☆31Updated last year
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• tiffanyding / class-conditional-conformal
  ☆17Updated 2 weeks ago
• skezle / sava
  Scalable data valuation using optimal transport (ICLR 2025)
  ☆13Updated last month
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• FelixdenBreejen / TabForestPFN
  ☆49Updated last year
• automl / Drift-Resilient_TabPFN
  Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in …
  ☆18Updated 3 months ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆53Updated last month