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Search results for pytorch sgd

50 search results found

Fairscale ⭐ 2,734

PyTorch extensions for high performance and large scale training.

Awd Lstm Lm ⭐ 1,838

LSTM and QRNN Language Model Toolkit for PyTorch

SAM: Sharpness-Aware Minimization (PyTorch)

Stochastic Weight Averaging in PyTorch

Deep_learning_nlp ⭐ 359

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Nfnets Pytorch ⭐ 316

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/

Implements pytorch code for the Accelerated SGD algorithm.

Stochastic_gradient_push ⭐ 141

Stochastic Gradient Push for Distributed Deep Learning

Pytorch1.0 Cn ⭐ 139

PyTorch 1.0 官方文档中文版，欢迎关注微信公众号：磐创AI

Pytorch Byol ⭐ 94

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Adaptive Inertia Adai ⭐ 94

The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2022 Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

Torchlars ⭐ 68

A LARS implementation in PyTorch

Entropy Sgd ⭐ 61

Lua implementation of Entropy-SGD

Meta Sgd Pytorch ⭐ 53

Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835

Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch

Distributed Learning by Pair-Wise Averaging

Synapses ⭐ 50

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Kfac Pytorch ⭐ 47

Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

Mnasnet Pytorch ⭐ 42

A PyTorch implementation of MNASNET

Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Pytorchexample ⭐ 36

Pytorch训练自己的数据的示例代码

Pytorch Lr Dropout ⭐ 35

"Learning Rate Dropout" in PyTorch

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

Torch_swa_examples ⭐ 31

A Tour Of Pytorch Optimizers ⭐ 30

A tour of different optimization algorithms in PyTorch.

Multiclass_linearsvm_with_sgd ⭐ 29

A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss

Torch Mfa ⭐ 29

Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch

Switching from Adam to SGD optimization in PyTorch.

PyTorch reimplementation of Moving Semantic Transfer Network

Pytorch Curveball ⭐ 19

A second-order optimizer for deep networks

Code base for SRSGD

Stdeblur ⭐ 17

Spatiotemporal deblurring in PyTorch

Efficientdet_pytorch ⭐ 15

EfficientDet_PyTorch 目标检测(Object Detection)

Metalstm ⭐ 10

Meta Learning for LSTM

Vovnet_v2 ⭐ 10

VoVNet V2 implementation and checkpoints

Sgd Uap Torch ⭐ 9

Universal Adversarial Perturbations (UAPs) for PyTorch

Byzantinemomentum ⭐ 8

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)

Sequencetagging ⭐ 8

PyTorch, LSTM CRF model

Pytorch_nersc_wheel ⭐ 7

PyTorch wheel installation file with performance optimization on CPU

Overlap_local_sgd ⭐ 7

Implementation of (overlap) local SGD in Pytorch

Vdsr_pytorch_htm ⭐ 6

VDSR(using pytorch)

Optimizer Pytorch ⭐ 6

Package of Optimizer implemented with PyTorch .

Cifar_pytorch Lightning ⭐ 6

CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning

Implementation of some fundamental Machine Learning algorithms completely written in Pytorch

Pypytorch ⭐ 5

PyPyTorch is a simple deep learning framework implemented by Python3

ND-Adam is a tailored version of Adam for training DNNs.

PyTorch Code for the paper "NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization"

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