lucidrains / contrastive-learnerLinks
A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
☆150Updated 4 years ago
Alternatives and similar repositories for contrastive-learner
Users that are interested in contrastive-learner are comparing it to the libraries listed below
Sorting:
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆141Updated 7 months ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Implementation of Barlow Twins paper☆99Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆106Updated 2 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆86Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Axial Positional Embedding for Pytorch☆83Updated 8 months ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆169Updated 7 months ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆93Updated 2 years ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆70Updated 4 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆165Updated last year
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆131Updated 2 years ago
- ☆122Updated 3 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆48Updated last year
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 4 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆221Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆210Updated 2 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆194Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- ☆57Updated 3 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆326Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago