lessw2020 / Ranger-Deep-Learning-OptimizerLinks
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
☆1,204Updated last year
Alternatives and similar repositories for Ranger-Deep-Learning-Optimizer
Users that are interested in Ranger-Deep-Learning-Optimizer are comparing it to the libraries listed below
Sorting:
- On the Variance of the Adaptive Learning Rate and Beyond☆2,551Updated 4 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Updated 4 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆336Updated 6 years ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,064Updated last year
- Stochastic Weight Averaging in PyTorch☆976Updated 4 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,110Updated 2 years ago
- Over9000 optimizer☆424Updated 2 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated last year
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Updated 4 years ago
- A PyTorch Implementation of Focal Loss.☆988Updated 6 years ago
- A learning rate range test implementation in PyTorch☆987Updated 3 months ago
- A New Optimization Technique for Deep Neural Networks☆540Updated 3 years ago
- My best practice of training large dataset using PyTorch.☆1,105Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,164Updated last year
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,581Updated last year
- Code snippets created for the PyTorch discussion board☆571Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,143Updated last year
- Standalone TFRecord reader/writer with PyTorch data loaders☆893Updated 5 months ago
- Debug PyTorch code using PySnooper☆800Updated 4 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,852Updated last year
- Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]☆1,299Updated last week
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,045Updated 4 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆744Updated 2 years ago
- Deep Learning Experiment Management☆642Updated 2 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,487Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,250Updated 11 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,320Updated last week