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Search results for deep learning sgd
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46 search results found
Machinelearning
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4,895
Basic Machine Learning and Deep Learning
Tribuo
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1,202
Tribuo - A Java machine learning library
Dist Keras
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611
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
Go Deep
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436
Artificial Neural Network
Deep_learning_nlp
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359
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Awesome Distributed Deep Learning
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309
A curated list of awesome Distributed Deep Learning resources.
Deepnet
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267
Implementations of CNNs, RNNs and deep learning techniques in pure Numpy
Face Generator
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244
Generate human faces with neural networks
Lightnet
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236
Efficient, transparent deep learning in hundreds of lines of code.
Terngrad
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152
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Crowded Valley Results
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129
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
Jiro Nn
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113
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Deep Learning
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107
personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout, 三种梯度下降方法(BGD, SGD, mini-batch),六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam),梯度检验、batch normalization)、RNN
Distributeddeeplearningreads
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105
Papers and blogs related to distributed deep learning
Adaptive Inertia Adai
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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".
Pytorch Byol
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94
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Synapse
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65
Train the SGD model to recognize MNIST handwritten digits on local device
Entropy Sgd
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61
Lua implementation of Entropy-SGD
Theano Mpi
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55
MPI Parallel framework for training deep learning models built in Theano
Batchnorm Pruning
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54
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
Dfw
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53
Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
Dpwa
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51
Distributed Learning by Pair-Wise Averaging
Neural Net Optimization
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49
PyTorch implementations of recent optimization algorithms for deep learning.
Numpy Neuralnet Exercise
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42
Implementation of key concepts of neuralnetwork via numpy
Parle
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38
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Nncf
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35
Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
Resnet.torch
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35
an updated version of fb.resnet.torch with many changes.
Deeplearning Classification With Tensorflow
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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.
Pytorch Curveball
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19
A second-order optimizer for deep networks
Chocosgd
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17
Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
Gradient Energy Matching
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17
Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".
Maml Tensorflow
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17
This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
Le
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17
Machine Learning Framework
Smoothout
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16
SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
Sparkdeepdoc
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15
Some deep resources from apache spark, cloudera, my practice and so on. Most important is what i think.
Systemml Nn
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12
A deep learning library for Apache SystemML.
Deep Learning Theano
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11
Theano
Vovnet_v2
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10
VoVNet V2 implementation and checkpoints
Deeplearningfromforr
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9
손으로 쓴 숫자 이미지를 판별하는 Deep Learning을 R로만 구현하자!
Dropout Vs Batch Normalization
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8
Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper
Mxnet G
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8
MXNet-G is a deep learning framework designed based on MXNet (https://mxnet.incubator.apache.org/index.html). It allows you to train models with a novel distributed SGD (Stochastic Gradient Descent) algorithm named Grouping-SGD. A new parallelization scheme named GSP (Grouping Synchronous Parallel) is used in Grouping-SGD for distributed deep learning on heterogeneous clusters.
Matdl
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8
A Lightweight Deep Learning Library in MATLAB
N3rd
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7
Simple, no frills, neural nets / deep learning in Java
Overlap_local_sgd
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7
Implementation of (overlap) local SGD in Pytorch
Simpledeepnettoolbox
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7
Simple MATLAB toolbox for deep learning network: Version 1.0.3
Learning_to_learn
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6
Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016
Deep_learning_glossary
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6
Simple, opinionated explanations of various things encountered in Deep Learning
Dpsgd Optimizer
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5
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
Neural Network
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5
Statically-linked deep learning library written in C++ from scratch
Path Sgd
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5
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Pypytorch
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5
PyPyTorch is a simple deep learning framework implemented by Python3
Articlelist
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5
article collections for some topics about machine learning/deep learning
Learned Weight Sharing
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5
Deep multi-task learning by optimizing weight sharing between networks using NES and SGD
Nd Adam
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5
ND-Adam is a tailored version of Adam for training DNNs.
Ri Sgd
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5
Implementation of Redundancy Infused SGD for faster distributed SGD.
Transfer Learning For Flower Classification By Resnet
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5
A jupyter notebook is provided for in-depth explanation.
Grokking Deep Learning Notebooks
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5
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
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1-46 of 46 search results
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