Alternatives and similar repositories for SVRG-Pytorch

Users that are interested in SVRG-Pytorch are comparing it to the libraries listed below

• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆72Updated 4 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆49Updated 3 years ago
• johncava / SVRG-pytorch
  Implementation of Stochastic Variance Reduced Gradient Descent
  ☆8Updated 7 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• huaxiuyao / HSML
  HSML for ICML 2019
  ☆51Updated 6 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• IBM / ZOSVRG-BlackBox-Adv
  ZOSVRG-BlackBox-Adv
  ☆13Updated 6 years ago
• spiglerg / pyMeta
  Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…
  ☆48Updated 3 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• namkoong-lab / robustopt
  ☆43Updated 6 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• yueqiw / OptML-SVRG-PyTorch
  Implementation of SVRG for training neural networks
  ☆21Updated 5 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• Xi-L / ParetoMTL
  Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
  ☆138Updated 5 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆191Updated 6 years ago
• prolearner / hypertorch
  ☆123Updated last year
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆144Updated 6 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆64Updated 7 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆60Updated 2 years ago
• tudor-berariu / fisher-information-matrix
  PyTorch implementation of FIM and empirical FIM
  ☆61Updated 7 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆62Updated 5 years ago
• gingsmith / fmtl
  Federated Multi-Task Learning
  ☆131Updated 6 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆70Updated 4 years ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆89Updated 5 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆20Updated 2 years ago