- [P] Solo-learn 1.0.3: new methods, support for transformer architectures, better evaluation, improved docs, and additional results. https://github.com/vturrisi/solo-learn 6 comments machinelearning
Linking pages
Linked pages
- GitHub - uploadcare/pillow-simd: The friendly PIL fork https://github.com/uploadcare/pillow-simd#readme 44 comments
- [2103.03230] Barlow Twins: Self-Supervised Learning via Redundancy Reduction https://arxiv.org/abs/2103.03230 22 comments
- [2103.14030] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows https://arxiv.org/abs/2103.14030 20 comments
- [2002.05709] A Simple Framework for Contrastive Learning of Visual Representations https://arxiv.org/abs/2002.05709 13 comments
- Weights & Biases – Developer tools for ML https://wandb.ai/site 11 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- [2111.06377] Masked Autoencoders Are Scalable Vision Learners https://arxiv.org/abs/2111.06377 5 comments
- [2201.03545] A ConvNet for the 2020s https://arxiv.org/abs/2201.03545 5 comments
- [2006.07733] Bootstrap your own latent: A new approach to self-supervised Learning https://arxiv.org/abs/2006.07733 5 comments
- [2104.14294] Emerging Properties in Self-Supervised Vision Transformers https://arxiv.org/abs/2104.14294 3 comments
- [2104.02057] An Empirical Study of Training Self-Supervised Vision Transformers https://arxiv.org/abs/2104.02057 2 comments
- [1909.13719] RandAugment: Practical automated data augmentation with a reduced search space https://arxiv.org/abs/1909.13719 0 comments
- [1605.07146] Wide Residual Networks http://arxiv.org/abs/1605.07146 0 comments
- [2105.04906] VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning https://arxiv.org/abs/2105.04906 0 comments
- [2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale https://arxiv.org/abs/2010.11929 0 comments
- GitHub - facebookresearch/hydra: Hydra is a framework for elegantly configuring complex applications https://github.com/facebookresearch/hydra 0 comments
- GitHub - NVIDIA/DALI: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. https://github.com/NVIDIA/DALI 0 comments
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