Alternatives and similar repositories for cnaps:

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

• ServiceNow / TADAM
  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …
  ☆106Updated 2 years ago
• chrysts / dsn_fewshot
  ☆90Updated 3 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆76Updated 4 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆149Updated 4 years ago
• peymanbateni / simple-cnaps
  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…
  ☆117Updated 2 years ago
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆137Updated 5 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆93Updated 2 years ago
• mileyan / simple_shot
  ☆132Updated 4 years ago
• IBM / cdfsl-benchmark
  (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
  ☆226Updated 4 years ago
• bertinetto / r2d2
  [ICLR'19] Meta-learning with differentiable closed-form solvers
  ☆115Updated 5 years ago
• csyanbin / TPN-pytorch
  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆176Updated 3 years ago
• imtiazziko / LaplacianShot
  Laplacian Regularized Few Shot Learning
  ☆82Updated 2 years ago
• shaohua0116 / MMAML-Classification
  An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…
  ☆139Updated 5 years ago
• renmengye / inc-few-shot-attractor-public
  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
  ☆120Updated 5 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆97Updated last year
• nupurkmr9 / S2M2_fewshot
  ☆114Updated 4 years ago
• dragen1860 / Reptile-Pytorch
  ☆154Updated 5 years ago
• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆104Updated 3 years ago
• thuml / Deep-Embedded-Validation
  Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
  ☆63Updated 5 years ago
• WangYueFt / rfs
  ☆369Updated 4 years ago
• timchen0618 / pytorch-leo
  Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
  ☆49Updated 4 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆181Updated 2 years ago
• mboudiaf / TIM
  (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
  ☆121Updated last year
• ServiceNow / am3
  Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.
  ☆65Updated 2 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆66Updated 4 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 4 years ago
• Sha-Lab / FEAT
  The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
  ☆423Updated 4 years ago
• yue-zhongqi / ifsl
  [NeurIPS 2020] Released code for Interventional Few-Shot Learning
  ☆166Updated 3 years ago
• gidariss / wDAE_GNN_FewShot
  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
  ☆156Updated 5 years ago