XuezheMax / apollo
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
☆182Updated 3 years ago
Alternatives and similar repositories for apollo:
Users that are interested in apollo are comparing it to the libraries listed below
- pytorch implement of Lookahead Optimizer☆189Updated 2 years ago
- Accelerate training by storing parameters in one contiguous chunk of memory.☆292Updated 4 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆334Updated 5 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆172Updated 3 years ago
- Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆408Updated 6 months ago
- Implementation and experiments for AdamW on Pytorch☆93Updated 5 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆371Updated 4 years ago
- Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…☆250Updated 3 years ago
- Implementation of Sparsemax activation in Pytorch☆158Updated 4 years ago
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆89Updated 4 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆119Updated 3 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆257Updated 3 years ago
- A Toolkit for Training, Tracking, Saving Models and Syncing Results☆60Updated 4 years ago
- ☆165Updated 6 years ago
- Experimental ground for optimizing memory of pytorch models☆364Updated 6 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 6 months ago
- Understanding the Difficulty of Training Transformers☆328Updated 2 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆164Updated 3 years ago
- ☆182Updated last year
- A New Optimization Technique for Deep Neural Networks☆535Updated 3 years ago
- Distributed, mixed-precision training with PyTorch☆89Updated 4 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 3 years ago
- Implementation of the reversible residual network in pytorch☆103Updated 3 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆92Updated 2 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆457Updated 5 years ago
- ☆83Updated 3 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 6 months ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆50Updated 5 years ago
- Loss and accuracy go opposite ways...right?☆91Updated 4 years ago