Alternatives and similar repositories for ASG

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

• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆80Updated 3 years ago
• stanislavfort / gaussian-prototypical-networks
  Gaussian prototypical network architecture for few-shot learning
  ☆41Updated 5 years ago
• emalach / UpdateByDisagreement
  code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]
  ☆21Updated 7 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆66Updated 4 years ago
• liulu112601 / Gated-Propagation-Net
  NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
  ☆36Updated 5 years ago
• abhijitbendale / OWR
  Code and data for Paper - Towards Open World Recognition - CVPR 2015
  ☆22Updated 7 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago
• liulu112601 / Prototype-Propagation-Net
  IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
  ☆56Updated 5 years ago
• 9310gaurav / virtual-adversarial-training
  Pytorch implementation of Virtual Adversarial Training
  ☆134Updated 6 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆243Updated 6 years ago
• waitwaitforget / KnowledgeSharing-Pytorch
  Implementations of knowledge distillation and knowledge transfer models in neural networks.
  ☆22Updated 6 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 5 years ago
• lizhitwo / LearningWithoutForgetting
  Repository for the Learning without Forgetting paper, ECCV 2016
  ☆84Updated 5 years ago
• lzrobots / DeepEmbeddingModel_ZSL
  Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆186Updated 6 years ago
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆94Updated 2 years ago
• eleniTriantafillou / few_shot_mAP_public
  This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…
  ☆25Updated 7 years ago
• khurramjaved96 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆108Updated last year
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• EricArazo / PseudoLabeling
  Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
  ☆153Updated 4 years ago
• abhiskk / ladder
  Implementation of Ladder Network in PyTorch.
  ☆45Updated 7 years ago
• Elyorcv / SAE
  Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
  ☆146Updated 6 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆121Updated 6 years ago
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 7 years ago
• tensorfreitas / Temporal-Ensembling-for-Semi-Supervised-Learning
  Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution
  ☆55Updated 5 years ago
• Flowerfan / Open-Reid
  Self-Paced Multi-view Co-training for person re-id experiment
  ☆30Updated 4 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 5 years ago