lmartak / distill-nn-tree

Related projects ⓘ

Alternatives and complementary repositories for distill-nn-tree

• xuyxu / Soft-Decision-Tree
  PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
  ☆96Updated 9 months ago
• henrikmarklund / arm
  ☆82Updated last year
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 3 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 4 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆82Updated 4 years ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆34Updated 4 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆81Updated 3 years ago
• IBM / online-alt-min
  Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedin…
  ☆24Updated 5 years ago
• google-research-datasets / bam
  ☆48Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆60Updated 3 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 4 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆85Updated 4 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 6 years ago
• spiglerg / pyMeta
  Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…
  ☆48Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆117Updated last year
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 2 years ago
• senwu / dauphin
  An uncertainty-based random sampling algorithm for data augmentation
  ☆30Updated 4 years ago
• dmadras / local-ensembles
  "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour
  ☆13Updated 4 years ago
• LayneH / self-adaptive-training
  [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
  ☆127Updated 3 years ago
• salesforce / corr_based_prediction
  This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):
  ☆54Updated 4 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆62Updated 4 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆62Updated last year
• geifmany / selectivenet
  code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
  ☆45Updated 5 years ago
• briancheung / superposition
  ☆45Updated 5 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆110Updated 5 years ago
• Jianbo-Lab / L2X
  ☆124Updated 3 years ago
• js-d / sim_metric
  ☆35Updated last year