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318 search results found

Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)

Adabound Tensorflow ⭐ 40

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

Zipml Pynq ⭐ 40

Linear model training using stochastic gradient descent (SGD) on PYNQ with full to low precision.

A light-weight matrix factorization tool

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 Regression, SVMs, Least Squares Regression etc.)

Deep Learning Optimization Algorithms ⭐ 37

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

Global Sparse Momentum SGD for pruning very deep neural networks

Machinelearningnote ⭐ 37

用python实现机器学习各种经典算法

Simgan_nyu_hand ⭐ 36

simGAN NYU Hand Dataset

Metaquant ⭐ 36

Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019

Pytorchexample ⭐ 36

Pytorch训练自己的数据的示例代码

Resnet.torch ⭐ 35

an updated version of fb.resnet.torch with many changes.

Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"

Pytorch Lr Dropout ⭐ 35

"Learning Rate Dropout" in PyTorch

A Java implementation of libFM(Factorization Machine Library)

Dual Attentive Tree Aware Embedding ⭐ 34

DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection

Quadflor ⭐ 34

End-2-end multi-label classification in python

Experimental Haskell machine learning library

Federated Learning ⭐ 33

tf implementation of federated learning

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

Torch_swa_examples ⭐ 31

Sparsifiedsgd ⭐ 31

Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599

Logistic Regression Sgd ⭐ 31

L1-regularized logistic regression using stochastic gradient descent [machine learning]

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 Regression, SVMs, Least Squares Regression etc.)

A Tour Of Pytorch Optimizers ⭐ 30

A tour of different optimization algorithms in PyTorch.

Bottou Sgd ⭐ 30

Leon Bottou's SGD

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

Code for IoT Journal paper title 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'

Sgdoptim.jl ⭐ 27

A julia package for Gradient Descent and Stochastic Gradient Descent

Sgdstore ⭐ 27

Augmented RNN memory via live SGD

Graduation Design ⭐ 26

:trollface: 本科毕业设计：针对Deepfake假脸视频面部细节特征的提取算法

Asyspark ⭐ 26

Asynchronous spark machine learning with parameter server

Hyperspherical Prototype Networks

Sgd From Scratch ⭐ 25

Stochastic gradient descent from scratch for linear regression

Grda Optimizer ⭐ 25

Error Feedback Sgd ⭐ 24

SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847

SGD and Ordered SGD codes for deep learning, SVM, and logistic regression

Switching from Adam to SGD optimization in PyTorch.

Adawhatever ⭐ 24

MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.

Sgd Sparse Features ⭐ 23

SGD with large step sizes learns sparse features [ICML 2023]

RBF Network using Theano, climin, and sklearn.

Deeplearning Classification With Tensorflow ⭐ 22

We realized an integrated classification project from training from scratch to predict utilizing classical networks with tensorflow, including VGG16, ResNet series. With this repository, you can train your own data and realize prediction.

Contrib_swa_examples ⭐ 22

A comparasion among different variant of gradient descent algorithm

Parallel Sgd ⭐ 22

一个用于联邦学习或分布式机器学习，对不同网络拓扑进行实验的简易框架。

Numpy_neural_network ⭐ 21

Construct a neural network frame by Numpy

Implement some ML algorithms in scala

Reference implementation of the PAL optimizer

PyTorch reimplementation of Moving Semantic Transfer Network

A Java library for Stochastic Gradient Descent (SGD)

Stochastic_bb ⭐ 20

Python implementation of SVRG-BB and SGD-BB algorithms

Aliproducts ⭐ 19

一个通用的图像分类模板，天池/CVPR AliProducts挑战赛 3/688

Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019

Generalizing Lottery Tickets ⭐ 19

This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

Pytorch Curveball ⭐ 19

A second-order optimizer for deep networks

transE算法简单python实现 FB15k

Code base for SRSGD

Neural Holography ⭐ 18

Code and data for Neural Holography

TransE方法的Python实现，解释SGD中TransE的向量更新

Keras_novograd ⭐ 18

Keras implementation of NovoGrad

Mlcourse_dubai ⭐ 17

Repository for ML course in Dubai

Dogs Vs Cats Redux ⭐ 17

Dogs vs. Cats Redux on floydhub

Book Recommendation System ⭐ 17

Personalized book recommender system to generate top 5 recommendations to users

Chocosgd ⭐ 17

Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

Weighted multiple-instance learning algorithm

Machine Learning Framework

Gradient Energy Matching ⭐ 17

Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

Stdeblur ⭐ 17

Spatiotemporal deblurring in PyTorch

Gtopkssgd ⭐ 17

gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning

Smartunderwriter ⭐ 17

Housing loan risk assessment from its origination data

Maml Tensorflow ⭐ 17

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

Blackjack Sgd ⭐ 17

A simple bot that learns how to play blackjack through real-time stochastic gradient descent

Ai Job Title Area Classification ⭐ 17

Classification of job titles into categories, using different ML techniques

Dialogue State Induction ⭐ 16

Code for "Dialogue State Induction Using Neural Latent Variable Models"

Smoothout ⭐ 16

SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning

Hypergradient_variants ⭐ 16

Improved Hypergradient optimizers, providing better generalization and faster convergence.

Stochastic Gradient Descent

Factorizationmachine ⭐ 16

implementation of factorization machine, support classification.

Advanced Factorization Of Machine Systems ⭐ 16

GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

A 3-Dimensional View of Human Metabolism and Disease

Theedhum Nandrum ⭐ 15

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English

Sklearn Hogwild ⭐ 15

An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.

Sparkdeepdoc ⭐ 15

Some deep resources from apache spark, cloudera, my practice and so on. Most important is what i think.

Implicit Sgd ⭐ 15

Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.

Parallel Sgd ⭐ 15

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

Efficientdet_pytorch ⭐ 15

EfficientDet_PyTorch 目标检测(Object Detection)

Scala Data Science ⭐ 15

Data Science in Scala - Conf. Talk Repo

Dl_tutorials ⭐ 14

Adam Vs Sgd Numpy ⭐ 14

A 3-layer neural network with SGD and Adam optimizers built from scratch with numpy.

Pacbayes Opt ⭐ 14

Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights

Sign Symmetry ⭐ 14

Flaxoptimizers ⭐ 13

A collection of optimizers, some arcane others well known, for Flax.

Learning Explanations Hard To Vary ⭐ 13

Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard to vary"

Posteriorserver ⭐ 13

Posterior Server

SGD for Probabilistic Matrix Factorization(PMF)

Optimize ⭐ 12

Optimization Library

Apd_public ⭐ 12

Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317

Systemml Nn ⭐ 12

A deep learning library for Apache SystemML.

101-200 of 318 search results

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