Alternatives and similar repositories for cluster_examples

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

• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• rgrosse / csc2541_examples
  ☆30Updated 4 years ago
• mila-iqia / milatools
  Tools to connect to and interact with the Mila cluster
  ☆79Updated last month
• nyu-dl / cluster-support
  ☆61Updated 3 years ago
• ShangtongZhang / rebib
  Retrieve information from DBLP and update BibTex files automatically
  ☆54Updated 3 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆125Updated 5 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆120Updated 3 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆152Updated 5 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆112Updated 6 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆152Updated 2 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆133Updated 6 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 5 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆68Updated 6 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 3 years ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 6 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆219Updated this week
• umutsimsekli / sgd_tail_index
  The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
  ☆25Updated 6 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆130Updated 2 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆25Updated 2 years ago
• modestyachts / neural_kernels_code
  ☆35Updated 4 years ago
• cybertronai / autograd-hacks
  ☆159Updated 3 years ago
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 6 years ago
• rr-learning / disentanglement_dataset
  ☆79Updated 9 months ago
• GuyLor / Direct-VAE
  Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"
  ☆15Updated 5 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 7 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆114Updated 4 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆79Updated 6 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆173Updated 6 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago