14 results found Sort:

salesforce
awd-lstm-lm salesforce
491
2.0k
bsd-3-clause
65
LSTM and QRNN Language Model Toolkit for PyTorch
sgd lstm qrnn pytorch language-model
This repository has been archived (exclude archived)
Created 2017-08-08
40 commits to master branch, last one 2 years ago
vballoli
nfnets-pytorch vballoli
29
342
mit
8
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
sgd sota paper nfnets pytorch deepmind image-classification adaptive-gradient-clipping
Created 2021-02-13
80 commits to main branch, last one about a year ago
hiroyuki-kasai
SGDLibrary hiroyuki-kasai
86
213
mit
19
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
sgd svrg matlab big-data gradient optimization quasi-newton classification newtons-method online-learning machine-learning linear-regression variance-reduction logistic-regression softmax-classification optimization-algorithms gradient-descent-algorithm machine-learning-algorithms stochastic-gradient-descent stochastic-optimization-algorithms
Created 2016-10-26
133 commits to master branch, last one about a year ago
gyrdym
ml_algo gyrdym
30
181
bsd-2-clause
5
Machine learning algorithms in Dart programming language
sgd dart softmax dartlang algorithm classifier regression data-science hyperparameters lasso-regression machine-learning linear-regression softmax-algorithm softmax-classifier softmax-regression logistic-regression batch-gradient-descent machine-learning-algorithms mini-batch-gradient-descent stochastic-gradient-descent
Created 2017-04-02
1,062 commits to master branch, last one 5 months ago
SirRob1997
Crowded-Valley---Results SirRob1997
19
175
unknown
5
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
sgd deeplearning deep-learning adam-optimizer deep-neural-networks deep-learning-optimizers
Created 2020-06-30
48 commits to master branch, last one 2 years ago
OverLordGoldDragon
keras-adamw OverLordGoldDragon
25
166
mit
6
Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
sgd adamw keras nadam adamwr optimizers tensorflow warm-restarts learning-rate-multipliers
Created 2019-09-27
53 commits to master branch, last one 2 years ago
AnicetNgrt
jiro-nn AnicetNgrt
3
120
unknown
3
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
ml nn gpu sgd adam cuda rust opencl dropout nalgebra pipelines regression data-analysis deep-learning gpu-computing classification neural-networks machine-learning
Created 2023-03-30
184 commits to main branch, last one 9 months ago
bentrevett
a-tour-of-pytorch-optimizers bentrevett
25
79
mit
3
A tour of different optimization algorithms in PyTorch.
sgd adam adagrad pytorch rmsprop adadelta optimization pytorch-optimizers optimization-algorithms
Created 2020-11-14
22 commits to main branch, last one 2 years ago
ZebraDevs
LinkOS-Android-Samples ZebraDevs
57
68
unknown
13
Java based sample code for developing on Android. The demos in this repository are stored on separate branches. To navigate to a demo, please click branches.
sgd java zebra android printer printstation
Created 2017-07-11
8 commits to master branch, last one about a year ago
Mrpatekful
swats Mrpatekful
17
64
mit
2
Unofficial implementation of Switching from Adam to SGD optimization in PyTorch.
sgd adam swats pytorch optimizer
Created 2019-05-29
4 commits to master branch, last one 5 years ago
c-gabri
Federated-Learning-PyTorch c-gabri
13
64
gpl-3.0
1
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arb...
sgd fedir fedvc fedavg fedsgd fedavgm fedprox non-iid pytorch imbalance heterogeneity classification federated-learning
Created 2022-01-05
204 commits to master branch, last one 2 years ago
hiroyuki-kasai
RSOpt hiroyuki-kasai
22
61
mit
5
Riemannian stochastic optimization algorithms: Version 1.0.3
sgd big-data manifold optimization online-learning machine-learning variance-reduction riemannian-manifold large-scale-learning stochastic-optimizers nonlinear-optimization non-convex-optimization optimization-algorithms riemannian-optimization stochastic-optimization constrained-optimization machine-learning-algorithms stochastic-gradient-descent nonlinear-optimization-algorithms
Created 2018-07-12
63 commits to master branch, last one about a year ago
decile-team
jensen decile-team
21
51
other
11
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic ...
sgd tron lbfgs jensen regularization lbfgs-algorithm gradient-descent machine-learning convex-optimization logistic-regression optimization-algorithms support-vector-machines machine-learning-algorithms
Created 2018-07-03
38 commits to master branch, last one 2 years ago
tml-epfl
sgd-sparse-features tml-epfl
5
31
unknown
1
SGD with large step sizes learns sparse features [ICML 2023]
sgd implicit-bias generalization large-step-sizes
Created 2022-10-04
15 commits to master branch, last one about a year ago