Alternatives and similar repositories for Deep-Learning

Users that are interested in Deep-Learning are comparing it to the libraries listed below

• YU1ut / MixMatch-pytorch
  Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
  ☆652Updated 2 years ago
• zhangyongshun / resnet_finetune_cub
  Fine tuning Codes for ResNet on cub-200-2011
  ☆43Updated 5 years ago
• TDeVries / cub2011_dataset
  PyTorch dataset for CUB-200-2011
  ☆56Updated 3 years ago
• zhirongw / lemniscate.pytorch
  Unsupervised Feature Learning via Non-parametric Instance Discrimination
  ☆757Updated 4 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆291Updated 4 years ago
• Confusezius / Deep-Metric-Learning-Baselines
  PyTorch Implementation for Deep Metric Learning Pipelines
  ☆575Updated 5 years ago
• VisionLearningGroup / VisionLearningGroup.github.io
  ☆187Updated 3 months ago
• alinlab / L2T-ww
  Learning What and Where to Transfer (ICML 2019)
  ☆250Updated 5 years ago
• EliSchwartz / DeltaEncoder
  This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition"…
  ☆53Updated 6 years ago
• zwzhang123 / Awesome-of-Long-Tailed-Recognition
  A curated list of long-tailed recognition resources.
  ☆586Updated 2 years ago
• renmengye / few-shot-ssl-public
  Meta Learning for Semi-Supervised Few-Shot Classification
  ☆570Updated 6 years ago
• kaidic / LDAM-DRW
  [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
  ☆695Updated 4 years ago
• guolz-ml / DS3L
  The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…
  ☆50Updated 5 years ago
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆139Updated 6 years ago
• bnu-wangxun / Deep_Metric
  Deep Metric Learning
  ☆781Updated 5 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆322Updated 6 years ago
• leokarlin / LaSO
  LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
  ☆88Updated last year
• gidariss / FeatureLearningRotNet
  ☆524Updated 2 years ago
• amber0309 / Domain-generalization
  All about domain generalization
  ☆841Updated 10 months ago
• zhmiao / OpenLongTailRecognition-OLTR
  Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
  ☆869Updated 3 years ago
• yikun2019 / PENCIL
  PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
  ☆140Updated 6 years ago
• kjunelee / MetaOptNet
  Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
  ☆544Updated last year
• bmsookim / wide-resnet.pytorch
  Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
  ☆478Updated 5 years ago
• gidariss / wDAE_GNN_FewShot
  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
  ☆159Updated 6 years ago
• thuml / CDAN
  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
  ☆410Updated 4 years ago
• lenscloth / RKD
  Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
  ☆408Updated 4 years ago
• gidariss / FewShotWithoutForgetting
  ☆523Updated 4 years ago
• yaoyao-liu / mini-imagenet-tools
  Tools for generating mini-ImageNet dataset and processing batches
  ☆454Updated 5 years ago
• gorkemalgan / deep_learning_with_noisy_labels_literature
  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
  ☆236Updated 4 years ago
• thuml / DCN
  Deep Calibration Network
  ☆16Updated 6 years ago