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.
  ☆74Updated 4 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 3 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• huaxiuyao / HSML
  HSML for ICML 2019
  ☆51Updated 6 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 7 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• sksom / Classification-using-KMM-Kernel-Mean-Matching-
  Dataset Bias correction (Python)
  ☆19Updated 7 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆64Updated 5 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆61Updated 2 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆60Updated last year
• yueqiw / OptML-SVRG-PyTorch
  Implementation of SVRG for training neural networks
  ☆22Updated 5 years ago
• JunjieYang97 / MRVRBO
  Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
  ☆15Updated 3 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• prolearner / hypertorch
  ☆124Updated last year
• Xi-L / ParetoMTL
  Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
  ☆140Updated 5 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆201Updated 7 years ago
• namkoong-lab / robustopt
  ☆43Updated 7 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆66Updated 7 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 6 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…
  ☆21Updated 2 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆39Updated last year
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆67Updated 4 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆69Updated 4 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 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