Alternatives and similar repositories for influence-release

Users that are interested in influence-release are comparing it to the libraries listed below

• nimarb / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆338Updated last year
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆634Updated 3 years ago
• google / svcca
  ☆636Updated 3 years ago
• uber-research / learning-to-reweight-examples
  Code for paper "Learning to Reweight Examples for Robust Deep Learning"
  ☆269Updated 6 years ago
• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 6 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆566Updated 2 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆464Updated 6 years ago
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆354Updated 6 years ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆424Updated 3 years ago
• marcotcr / lime-experiments
  Code for all experiments.
  ☆318Updated 4 years ago
• locuslab / convex_adversarial
  A method for training neural networks that are provably robust to adversarial attacks.
  ☆392Updated 3 years ago
• takerum / vat_tf
  Virtual adversarial training with Tensorflow
  ☆253Updated 7 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆55Updated 6 years ago
• anishathalye / obfuscated-gradients
  Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
  ☆899Updated 2 years ago
• wohlert / semi-supervised-pytorch
  Implementations of various VAE-based semi-supervised and generative models in PyTorch
  ☆709Updated 5 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆338Updated 3 years ago
• BeenKim / MMD-critic
  ☆134Updated 6 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆223Updated 6 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆915Updated 2 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• MadryLab / mnist_challenge
  A challenge to explore adversarial robustness of neural networks on MNIST.
  ☆753Updated 3 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,404Updated 4 years ago
• giorgiop / loss-correction
  Robust loss functions for deep neural networks (CVPR 2017)
  ☆91Updated 5 years ago
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆944Updated last year
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• dpkingma / nips14-ssl
  Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
  ☆514Updated 10 years ago
• BorealisAI / advertorch
  A Toolbox for Adversarial Robustness Research
  ☆1,351Updated last year