Alternatives and similar repositories for zero-shot-automl-with-pretrained-models

Users that are interested in zero-shot-automl-with-pretrained-models are comparing it to the libraries listed below

• automl / LCBench
  A learning curve benchmark on OpenML data
  ☆30Updated 6 months ago
• sjunhongshen / DASH
  ☆22Updated 2 years ago
• geoalgo / slurmpilot
  Launching and monitoring Slurm experiments in Python
  ☆18Updated last week
• machinelearningnuremberg / DyHPO
  [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
  ☆13Updated 2 years ago
• automl / DEHB
  ☆79Updated last month
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆28Updated last year
• automl / lcpfn
  ☆17Updated 7 months ago
• facebookresearch / projUNN
  Fast training of unitary deep network layers from low-rank updates
  ☆28Updated 2 years ago
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆27Updated last month
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆49Updated last year
• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• rtu715 / NAS-Bench-360
  Introducing diverse tasks for NAS
  ☆50Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 3 months ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆29Updated last year
• jiaweizzhao / ZerO-initialization
  ☆74Updated 2 years ago
• aoiang / LaMOO
  ☆29Updated 2 years ago
• fmsnew / nas-bench-nlp-release
  ☆28Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆34Updated 6 months ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆34Updated 9 months ago
• automl / DeepCAVE
  An interactive framework to visualize and analyze your AutoML process in real-time.
  ☆87Updated this week
• automl / jahs_bench_201
  The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
  ☆15Updated 2 years ago
• ihsaan-ullah / meta-album
  Meta-Album meta-dataset for few-shot image classification
  ☆24Updated 2 years ago