Alternatives and similar repositories for powerful-benchmarker

Users that are interested in powerful-benchmarker are comparing it to the libraries listed below

• Confusezius / Revisiting_Deep_Metric_Learning_PyTorch
  (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"…
  ☆344Updated 3 years ago
• yukimasano / self-label
  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
  ☆542Updated last year
• Confusezius / Deep-Metric-Learning-Baselines
  PyTorch Implementation for Deep Metric Learning Pipelines
  ☆575Updated 5 years ago
• bnu-wangxun / Deep_Metric
  Deep Metric Learning
  ☆782Updated 5 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆587Updated 3 years ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 5 years ago
• dichotomies / proxy-nca
  PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.
  ☆183Updated 5 years ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆543Updated 3 years ago
• facebookresearch / DeeperCluster
  Implements the unsupervised pre-training of convolutional neural networks
  ☆252Updated 3 years ago
• msight-tech / research-ms-loss
  MS-Loss: Multi-Similarity Loss for Deep Metric Learning
  ☆499Updated 2 years ago
• sung-yeon-kim / Proxy-Anchor-CVPR2020
  Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
  ☆322Updated 3 years ago
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆313Updated 6 years ago
• CompVis / metric-learning-divide-and-conquer
  Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
  ☆265Updated 5 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆347Updated 5 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆991Updated 2 months ago
• gidariss / FeatureLearningRotNet
  ☆519Updated last year
• google / revisiting-self-supervised
  ☆351Updated 5 years ago
• facebookresearch / odin
  A simple and effective method for detecting out-of-distribution images in neural networks.
  ☆537Updated 3 years ago
• zhirongw / lemniscate.pytorch
  Unsupervised Feature Learning via Non-parametric Instance Discrimination
  ☆754Updated 4 years ago
• NegatioN / OnlineMiningTripletLoss
  PyTorch conversion of https://omoindrot.github.io/triplet-loss
  ☆213Updated 2 years ago
• azgo14 / classification_metric_learning
  ☆102Updated 2 years ago
• chingyaoc / DCL
  NeurIPS 2020, Debiased Contrastive Learning
  ☆282Updated 2 years ago
• zhmiao / OpenLongTailRecognition-OLTR
  Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
  ☆866Updated 3 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆316Updated 5 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆494Updated last year
• cvjena / semantic-embeddings
  Hierarchy-based Image Embeddings for Semantic Image Retrieval
  ☆266Updated 4 years ago
• richardaecn / class-balanced-loss
  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
  ☆612Updated 3 years ago
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆244Updated 5 years ago
• leymir / hyperbolic-image-embeddings
  Supplementary code for the paper "Hyperbolic Image Embeddings".
  ☆383Updated 3 years ago
• google-research / noisystudent
  Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
  ☆764Updated 4 years ago