Alternatives and similar repositories for online-alt-min:

Users that are interested in online-alt-min are comparing it to the libraries listed below

• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• SamsungLabs / deep-weight-prior
  The Deep Weight Prior, ICLR 2019
  ☆44Updated 3 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆44Updated 5 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 4 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 6 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• lorraine2 / hypernet-hypertraining
  Code for Stochastic Hyperparameter Optimization through Hypernetworks
  ☆23Updated 6 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 4 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 3 years ago
• jalexvig / cnns
  Barebones implementations of CNNs
  ☆24Updated 6 years ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆35Updated 4 years ago
• briancheung / superposition
  ☆45Updated 5 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆63Updated 4 years ago
• mlresearch / v97
  Proceedings of ICML 2019
  ☆33Updated 2 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 5 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• sphinxteam / dnner
  Deep Neural Networks Entropy from Replicas
  ☆32Updated 5 years ago
• denisyarats / densenet_cifar10
  Meta-learning learning rates with higher
  ☆12Updated 5 years ago
• eugenium / DGL
  ☆30Updated 4 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• PiotrDabkowski / torchpwl
  Piecewise Linear Functions (PWL) implementation in PyTorch
  ☆51Updated 2 years ago
• ldecamp / fair_noise_as_targets
  Implementation of the Unsupervised learning by predicting noise paper
  ☆14Updated 7 years ago
• srebuffi / semisup_scarse
  PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf
  ☆13Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year