Alternatives and similar repositories for reptrix

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

• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆101Updated 2 weeks ago
• rbalestr-lab / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆90Updated this week
• mila-iqia / ResearchTemplate
  Research Project Template Repository
  ☆36Updated 2 months ago
• google-deepmind / distribution_shift_framework
  This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…
  ☆84Updated 3 weeks ago
• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆20Updated 2 years ago
• FarnoushRJ / MambaLRP
  [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
  ☆45Updated last year
• AnanyaKumar / transfer_learning
  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…
  ☆152Updated 2 years ago
• lauramanduchi / treevae
  Tree Variational Autoencoders pytorch implementation
  ☆39Updated last year
• mila-iqia / milatools
  Tools to connect to and interact with the Mila cluster
  ☆76Updated this week
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 4 years ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆22Updated 3 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆78Updated 2 years ago
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆173Updated 3 years ago
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆65Updated 6 months ago
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• bmucsanyi / bud
  ☆17Updated last year
• deel-ai-papers / conformal-segmentation
  [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation
  ☆26Updated 11 months ago
• dtsip / in-context-learning
  ☆241Updated last year
• UniReps / UniReps-resources
  ☆25Updated last year
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆36Updated last year
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆55Updated last year
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆53Updated 4 months ago
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆129Updated 2 years ago
• ejmichaud / grokking-squared
  ☆27Updated 2 years ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆105Updated 3 weeks ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago