Alternatives and similar repositories for LO-Shot:

Users that are interested in LO-Shot are comparing it to the libraries listed below

• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆96Updated 4 years ago
• uber-research / GTN
  ☆77Updated 4 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆57Updated 3 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• nd7141 / icml2020
  Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.
  ☆55Updated 4 years ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 4 years ago
• acmi-lab / papers-worth-reading
  A Curated Set of Papers Actually Worth Reading
  ☆26Updated 3 years ago
• sayakpaul / Sharpness-Aware-Minimization-TensorFlow
  Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
  ☆60Updated 3 years ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆132Updated 9 months ago
• shenkev / Overfitting-the-ML-Interview
  ☆18Updated 5 years ago
• brohrer / parameter_efficiency_leaderboard
  The most parameter efficient machine learning models on a few popular benchmarks
  ☆42Updated 2 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆120Updated 3 years ago
• laura-rieger / deep-explanation-penalization
  Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…
  ☆127Updated 3 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆43Updated 6 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• IBM / gan-toolkit
  The aim of the toolkit is to provide a highly flexible, no-code way of implementing GAN models.
  ☆55Updated 5 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 4 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆67Updated 5 years ago
• AdamCobb / LCBNN
  ☆25Updated 2 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 4 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆92Updated 5 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆47Updated 3 years ago
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆43Updated 5 years ago
• eBay / AutoOpt
  Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
  ☆45Updated 4 years ago
• nicklashansen / neural-net-optimization
  PyTorch implementations of recent optimization algorithms for deep learning.
  ☆61Updated 4 years ago
• rcamino / multi-categorical-gans
  Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"
  ☆49Updated last year
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago