Experiments with Adam/AdamW/amsgrad
☆201Sep 5, 2018Updated 7 years ago
Alternatives and similar repositories for Adam-experiments
Users that are interested in Adam-experiments are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 7 years ago
- A few notebooks about deep learning in pytorch☆597Mar 18, 2019Updated 7 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆291Jan 9, 2019Updated 7 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Aug 22, 2018Updated 7 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆141Feb 10, 2019Updated 7 years ago
- ☆306Mar 5, 2021Updated 5 years ago
- Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II☆126Apr 5, 2018Updated 7 years ago
- Source code of paper: (not available now)☆92Nov 25, 2018Updated 7 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,909Jul 23, 2023Updated 2 years ago
- ☆27May 2, 2018Updated 7 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Oct 12, 2018Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Nov 7, 2019Updated 6 years ago
- Implementation and experiments for AdamW on Pytorch☆94Nov 23, 2019Updated 6 years ago
- ☆13Mar 11, 2018Updated 8 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆320Aug 4, 2022Updated 3 years ago
- ☆218May 23, 2018Updated 7 years ago
- Slides from various talks I gave☆18Oct 25, 2018Updated 7 years ago
- Implementations of ideas from recent papers☆391Dec 22, 2020Updated 5 years ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆869Jun 11, 2020Updated 5 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30May 2, 2019Updated 6 years ago
- logboard: Monitor and Compare Logs on Browser/Terminal.☆21Sep 19, 2019Updated 6 years ago
- Chainer Implementation of Parallel Grid Pooling for Data Augmentation☆41Oct 5, 2018Updated 7 years ago
- ☆33Jul 19, 2024Updated last year
- VGG16 architecture with BatchNorm☆14Apr 4, 2017Updated 8 years ago
- Code for the paper "Extreme Adaptation for Personalized Neural Machine Translation"☆42Sep 22, 2025Updated 6 months ago
- Code for the Eager Translation Model from the paper You May Not Need Attention☆294Dec 17, 2018Updated 7 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Aug 18, 2021Updated 4 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Jun 6, 2018Updated 7 years ago
- ShuffleNet implementation in mxnet☆41Apr 27, 2018Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Official implementation of "Minimizing Supervision for Free-space Segmentation" paper☆24Dec 28, 2018Updated 7 years ago
- Pytorch implementation of HDGan☆148Nov 1, 2018Updated 7 years ago
- Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade☆108May 26, 2018Updated 7 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13May 3, 2018Updated 7 years ago
- Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]☆878Dec 8, 2022Updated 3 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Dec 14, 2019Updated 6 years ago
- Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)☆12Oct 25, 2018Updated 7 years ago
- ☆16Dec 18, 2018Updated 7 years ago