machinelearningnuremberg / QuickTune

Related projects ⓘ

Alternatives and complementary repositories for QuickTune

• linusericsson / einspace
  Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"
  ☆23Updated 3 weeks ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆22Updated 8 months ago
• SamsungLabs / BayesDLL
  ☆141Updated last year
• automl / lcpfn
  ☆12Updated last month
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆50Updated last week
• machinelearningnuremberg / DeepRankingEnsembles
  [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
  ☆13Updated 7 months ago
• automl / quicktunetool
  A framework for QuickTune
  ☆12Updated 2 weeks ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆17Updated 2 years ago
• automl / neps
  Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
  ☆60Updated this week
• TNAS-DCS / TNAS-DCS
  ☆12Updated 2 years ago
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆56Updated last week
• automl / ifBO
  In-context Bayesian Optimization
  ☆14Updated 3 weeks ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆59Updated last year
• naszilla / tabzilla
  ☆115Updated 7 months ago
• bmucsanyi / bud
  ☆17Updated 2 months ago
• hsouri / BayesianTransferLearning
  ☆109Updated 2 years ago
• automl / HW-GPT-Bench
  HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  ☆13Updated 2 weeks ago
• simsal0r / mixture-of-decision-trees
  Mixture of Decision Trees for Interpretable Machine Learning
  ☆11Updated 3 years ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 2 months ago
• jjbrophy47 / ibug
  Instance-based uncertainty estimation for gradient-boosted regression trees
  ☆30Updated 3 months ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆41Updated 10 months ago
• Bradley-Butcher / Conformers
  Unofficial implementation of Conformal Language Modeling by Quach et al
  ☆29Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆121Updated 2 years ago
• sjunhongshen / DASH
  ☆21Updated last year
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆98Updated 8 months ago
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆28Updated 4 months ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆64Updated this week
• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 3 years ago
• drewprinster / conformal-mfcs
  Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…
  ☆25Updated 4 months ago
• suinleelab / vit-shapley
  ☆27Updated 4 months ago