sooftware / pytorch-lr-schedulerLinks
PyTorch implementation of some learning rate schedulers for deep learning researcher.
☆90Updated 2 years ago
Alternatives and similar repositories for pytorch-lr-scheduler
Users that are interested in pytorch-lr-scheduler are comparing it to the libraries listed below
Sorting:
- Learning Rate Warmup in PyTorch☆410Updated last month
- Gradient Reversal Layer for Domain Adaptation☆122Updated 2 years ago
- PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI☆182Updated 2 years ago
- ☆464Updated 2 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆259Updated 4 years ago
- Implementations of Recent Papers in Computer Vision☆38Updated 2 years ago
- Simple project base template for PyTorch deep Learning project. Features clean implementation of DDP training and Hydra config.☆61Updated 8 months ago
- Additive margin softmax loss in pytorch☆47Updated 6 years ago
- PyTorch implementation of "Squeezeformer: An Efficient Transformer for Automatic Speech Recognition" (NeurIPS 2022)☆143Updated 2 years ago
- ☆51Updated 5 years ago
- [DEPRECATED] A knowledge distillation toolkit based on PyTorch and PyTorch Lightning.☆140Updated last year
- An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.☆236Updated last year
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆169Updated 4 months ago
- Localization of thoracic abnormalities model based on VinBigData (top 1%)☆45Updated 4 years ago
- ☆30Updated 3 years ago
- Deep Learning project template for PyTorch (multi-gpu training is supported)☆139Updated last year
- Implementation of Fast Transformer in Pytorch☆175Updated 3 years ago
- A minimal pytorch package implementing a gradient reversal layer.☆158Updated 9 months ago
- PyTorch samplers that output roughly balanced batches with support for multilabel datasets☆57Updated last year
- Implementation of the convolutional module from the Conformer paper, for use in Transformers☆417Updated 2 years ago
- Implementation of Linformer for Pytorch☆295Updated last year
- The missing distributed weighted random sampler for PyTorch☆24Updated 2 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago
- Adaptive Gradient Clipping☆136Updated 2 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆119Updated 4 years ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆85Updated 5 years ago
- PyTorch reimplementation of per-channel energy normalization for audio.☆100Updated 6 years ago
- Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".☆146Updated 2 years ago
- [NeurIPS'22] Squeezeformer: An Efficient Transformer for Automatic Speech Recognition☆258Updated 2 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆138Updated 4 months ago