Alternatives and similar repositories for stocBiO

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

• arobey1 / LipSDP
  LipSDP - Lipschitz Estimation for Neural Networks
  ☆71Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• prolearner / hypertorch
  ☆124Updated last year
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆48Updated 3 months ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• JunjieYang97 / MRVRBO
  Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
  ☆15Updated 3 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 4 years ago
• avirmaux / lipEstimation
  ☆60Updated 2 years ago
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆196Updated 8 months ago
• revbucket / lipMIP
  Mixed integer programming for computing lipschitz constants of ReLU Networks
  ☆17Updated 2 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• gnobitab / MultiObjectiveSampling
  ☆17Updated 3 years ago
• aravindr93 / imaml_dev
  Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
  ☆58Updated 5 years ago
• chenwydj / learning-to-learn-by-gradient-descent-by-gradient-descent
  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
  ☆67Updated 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
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 6 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆116Updated 8 months ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆28Updated 3 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆47Updated 3 years ago
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆24Updated 3 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 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
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆113Updated 5 years ago
• Cranial-XIX / CAGrad
  Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
  ☆133Updated last year
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆165Updated 3 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• deep-lab / DeepnetHessian
  Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)
  ☆16Updated 6 years ago