Alternatives and similar repositories for private_prediction

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

• facebookresearch / foltr-es
  The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…
  ☆33Updated 3 years ago
• howardhsu / L-DEM
  code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"
  ☆11Updated 6 years ago
• kohpangwei / data-poisoning-release
  ☆32Updated 7 years ago
• mmalekzadeh / privacy-preserving-bandits
  Privacy-Preserving Bandits (MLSys'20)
  ☆22Updated 2 years ago
• tginart / deletion-efficient-kmeans
  Research prototype of deletion efficient k-means algorithms
  ☆23Updated 5 years ago
• kiankd / corel2019
  Code for AAAI 2019 Network Interpretability workshop paper
  ☆16Updated 3 years ago
• salesforce / NeuralBayes
  ☆24Updated 2 weeks ago
• Eric-Wallace / adversarial-mt
  Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"
  ☆36Updated 5 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• Eric-Wallace / data-poisoning
  Concealed Data Poisoning Attacks on NLP Models
  ☆21Updated last year
• shoarora / transformers-trainers
  Tools for training pytorch language models
  ☆27Updated 4 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• npapernot / multiple-teachers-for-privacy
  This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…
  ☆10Updated 8 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• lio-wong / dancin_seq2seq
  👿→😈
  ☆24Updated 7 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• UKPLab / emnlp2018-april
  ☆12Updated 6 years ago
• liaopeiyuan / GAL
  [ICML 2021] Information Obfuscation of Graph Neural Networks
  ☆36Updated 3 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• ixxi-dante / an2vec
  Bringing node2vec and word2vec together for cool stuff
  ☆22Updated 5 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• MatanBN / XRTransfer
  Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"
  ☆16Updated 5 years ago
• salesforce / morpheus
  Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"
  ☆19Updated 2 weeks ago
• nplan-io / kdd2020-calibration
  How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
  ☆53Updated 4 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago