AnanyaKumar / transfer_learningLinks
Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratch, and testing them on a variety of datasets (transfer learning)
☆151Updated 2 years ago
Alternatives and similar repositories for transfer_learning
Users that are interested in transfer_learning are comparing it to the libraries listed below
Sorting:
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 2 months ago
- ☆47Updated 9 months ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- ☆108Updated 2 years ago
- ☆46Updated 2 years ago
- ☆108Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆48Updated last year
- ☆108Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆71Updated 2 years ago
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆123Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆208Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆217Updated 9 months ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆56Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 6 months ago
- Optimal Transport Dataset Distance☆168Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Bayesian Low-Rank Adaptation for Large Language Models☆35Updated last year
- Code for "Supermasks in Superposition"☆124Updated last year
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆95Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- ☆60Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year