Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
☆1,072Aug 9, 2024Updated last year
Alternatives and similar repositories for Adabelief-Optimizer
Users that are interested in Adabelief-Optimizer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- torch-optimizer -- collection of optimizers for Pytorch☆3,167Mar 22, 2024Updated 2 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,526Nov 18, 2020Updated 5 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,207Dec 22, 2023Updated 2 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Jul 31, 2021Updated 4 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,905Jul 23, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)☆417Jan 13, 2021Updated 5 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆218Apr 4, 2021Updated 5 years ago
- MADGRAD Optimization Method☆802Jan 27, 2025Updated last year
- Pytorch library for fast transformer implementations☆1,771Mar 23, 2023Updated 3 years ago
- A New Optimization Technique for Deep Neural Networks☆539Jan 13, 2022Updated 4 years ago
- Ranger deep learning optimizer rewrite to use newest components☆342Mar 17, 2026Updated 2 months ago
- Over9000 optimizer☆424Nov 22, 2022Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,485Apr 19, 2026Updated last month
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆701Dec 24, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,175Feb 2, 2022Updated 4 years ago
- Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]☆1,300Apr 28, 2026Updated 3 weeks ago
- A data augmentations library for audio, image, text, and video.☆5,083Updated this week
- Official code Cross-Covariance Image Transformer (XCiT)☆679Sep 28, 2021Updated 4 years ago
- FastFormers - highly efficient transformer models for NLU☆708Mar 21, 2025Updated last year
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,139Updated this week
- Official DeiT repository☆4,342Mar 15, 2024Updated 2 years ago
- [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang☆1,689Nov 3, 2022Updated 3 years ago
- [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training☆1,309Sep 24, 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.
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,975Feb 21, 2024Updated 2 years ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,809May 8, 2026Updated last week
- PyTorch extensions for high performance and large scale training.☆3,406Apr 26, 2025Updated last year
- pip install antialiased-cnns to improve stability and accuracy☆1,685Apr 8, 2024Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,628May 9, 2026Updated last week
- Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models☆816Jun 8, 2025Updated 11 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 4 years ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆11,202May 12, 2026Updated last week
- Fast Block Sparse Matrices for Pytorch☆551Jan 21, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- NVIDIA's Deep Imagination Team's PyTorch Library☆4,074Nov 29, 2022Updated 3 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,093Dec 6, 2022Updated 3 years ago
- DeLighT: Very Deep and Light-Weight Transformers☆469Oct 16, 2020Updated 5 years ago
- MONeT framework for reducing memory consumption of DNN training☆174May 4, 2021Updated 5 years ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆182Nov 21, 2021Updated 4 years ago
- Hopfield Networks is All You Need☆1,932Apr 23, 2023Updated 3 years ago
- ☆391Oct 18, 2023Updated 2 years ago