automl / zero-shot-automl-with-pretrained-modelsLinks
Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
☆48Updated 2 years ago
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
Sorting:
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆61Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- ☆75Updated 3 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆51Updated 7 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Recycling diverse models☆46Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 5 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆39Updated 3 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆71Updated 3 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 4 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆36Updated 11 months ago
- ☆16Updated 3 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆51Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Updated 3 years ago
- Library that contains implementations of machine learning components in the hyperbolic space☆145Updated last year
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- ☆111Updated 3 years ago
- ☆37Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated last year