A LARS implementation in PyTorch
☆353Feb 21, 2020Updated 6 years ago
Alternatives and similar repositories for torchlars
Users that are interested in torchlars are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Jan 22, 2021Updated 5 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆379Dec 9, 2020Updated 5 years ago
- AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)☆417Jan 13, 2021Updated 5 years ago
- ☆10Jul 14, 2019Updated 6 years ago
- A GPipe implementation in PyTorch☆862Jul 25, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,608Jun 16, 2021Updated 4 years ago
- A specially designed light version of Fast AutoAugment☆170May 12, 2020Updated 5 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,134Feb 3, 2026Updated 3 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,091Apr 13, 2023Updated 3 years ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆512Jun 9, 2022Updated 3 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆547Apr 13, 2022Updated 4 years ago
- Optimized Utilities for PyTorch☆26Jan 19, 2020Updated 6 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,882Apr 27, 2026Updated last week
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,492Mar 4, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Python Package for Managing Configurations☆38May 9, 2021Updated 5 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,296Mar 3, 2024Updated 2 years ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆34Apr 7, 2021Updated 5 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆818May 21, 2024Updated last year
- PyTorch extensions for high performance and large scale training.☆3,409Apr 26, 2025Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆990Oct 10, 2024Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,168Mar 22, 2024Updated 2 years ago
- PyTorch implementation of Barlow Twins.☆1,008Mar 3, 2022Updated 4 years ago
- MoCo with Alignment and Uniformity Loss.☆63Dec 12, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,488May 22, 2023Updated 2 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Oct 20, 2020Updated 5 years ago
- PyTorch DataLoader processed in multiple remote computation machines for heavy data processings☆69Oct 26, 2019Updated 6 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,956Apr 30, 2026Updated last week
- PyTorch implementation of Contrastive Learning methods☆1,997Oct 4, 2023Updated 2 years ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,437Dec 26, 2023Updated 2 years ago
- Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)☆39Dec 3, 2021Updated 4 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆636Mar 14, 2023Updated 3 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,321Aug 17, 2025Updated 8 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Corruption and Perturbation Robustness (ICLR 2019)☆1,148Aug 24, 2022Updated 3 years ago
- Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)☆11Oct 15, 2020Updated 5 years ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,302Jun 25, 2023Updated 2 years ago
- PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)☆19May 11, 2019Updated 6 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Dec 16, 2020Updated 5 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,551Jul 31, 2021Updated 4 years ago
- Multi Stopwatch for Python☆12Sep 28, 2019Updated 6 years ago