yuanwei2019 / EAdam-optimizer
Some improvements on Adam
☆28Updated 4 years ago
Alternatives and similar repositories for EAdam-optimizer
Users that are interested in EAdam-optimizer are comparing it to the libraries listed below
Sorting:
- ☆9Updated 4 years ago
- A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )☆24Updated 5 years ago
- ☆33Updated 4 years ago
- The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".☆10Updated 5 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 4 years ago
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 2 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 9 months ago
- This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …☆32Updated last year
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆60Updated 4 years ago
- Transformers are Graph Neural Networks!☆54Updated 4 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆61Updated 3 years ago
- Evolving Normalization-Activation Layers☆19Updated 5 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- Code for the PAPA paper☆27Updated 2 years ago
- ☆60Updated 4 years ago
- PyTorch implementation of MLP-Mixer☆37Updated 4 years ago
- ☆64Updated 4 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- Implementation of Mogrifier LSTM in PyTorch☆35Updated 5 years ago
- ☆42Updated 4 years ago
- Package of Optimizer implemented with PyTorch .☆65Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 4 years ago
- 基于Transformer的单模型、多尺度的VAE模型☆55Updated 3 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆56Updated last year