Alternatives and similar repositories for PapersAnalysis

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

• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 6 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 7 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆97Updated 7 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated 2 years ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆219Updated 6 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• faizan2786 / nalu_implementation
  This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…
  ☆43Updated 7 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 5 years ago
• IBM / mi-prometheus
  Enabling reproducible Machine Learning research
  ☆44Updated 2 months ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆63Updated 6 years ago
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆116Updated 3 years ago
• goodfeli / forgetting
  Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…
  ☆69Updated 11 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆50Updated 7 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 6 years ago
• google-deepmind / spectral_inference_networks
  Implementation of Spectral Inference Networks, ICLR 2019
  ☆172Updated 6 years ago
• depthfirstlearning / depthfirstlearning.com
  ☆197Updated last year
• kondiz / casme
  ☆72Updated 5 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 7 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆91Updated 4 years ago
• KhrulkovV / geometry-score
  ☆117Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago