sgd-optimizer

There are 0 repository under sgd-optimizer topic.

v-iashin / CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
computer-vision convolutional-neural-networks neural-network machine-learning stanford-university backpropagation recurrent-neural-networks lstm style-transfer generative-adversarial-network jupyter-notebook tensorflow svm-classifier adam-optimizer sgd-optimizer numpy solutions assignment pytorch deep-learning
Language:Jupyter Notebook 50
bharathsudharsan / ML-MCU
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
sgd-optimizer gradient-descent tinyml microcontroller armcortexm4 armcortexm0 online-learning machine-learning classifier-training optimization incremental-learning edge-computing
Language:C 40
JYWa / Overlap_Local_SGD
Implementation of (overlap) local SGD in Pytorch
pytorch distributed-optimization sgd-optimizer deep-learning
Language:Python 32
rdspring1 / Count-Sketch-Optimizers
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
adagrad adam-optimizer count-min-sketch count-sketch deep-learning hashing imagenet language-model neural-network pytorch sgd-momentum sgd-optimizer transformer
Language:Python 27
Janus-Shiau / lookahead_tensorflow
Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow
tensorflow optimizer adam-optimizer sgd-optimizer deep-learning
Language:Python 25
Computer-Vision-and-Image-Processing
bimalka98 / Computer-Vision-and-Image-Processing
Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄
computer-vision matplotlib numpy opencv-python cv2-library opencv image-processing counting-rice-grains image-zooming sgd-optimizer cnn-keras minibatch-sgd gradient-descent nut-counting
Language:Jupyter Notebook 24
Vercaca / NN-Backpropagation
Implement a Neural Network trained with back propagation in Python
backpropagation neural-network gradient-descent machine-learning python stochastic-gradient-descent sgd-optimizer
Language:Python 21
sloth2012 / scalaML
Implement some ML algorithms in scala
scala sgd-optimizer ftrl
Language:Scala 20
JYWa / MATCHA
Communication-efficient decentralized SGD (Pytorch)
distributed-optimization sgd-optimizer deep-learning distributed-training pytorch
Language:Python 19
hiroyuki-kasai / SimpleDeepNetToolbox
Simple MATLAB toolbox for deep learning network: Version 1.0.3
deep-learning deep-neural-networks convolutional-neural-networks convolutional-layers softmax-layer relu-layer forward-backward matlab stochastic-gradient-descent adam adagrad optimization machine-learning stochastic-optimization sgd sgd-optimizer sgd-momentum variance-reduction machine-learning-algorithms big-data
Language:MATLAB 16
nadir
Dawn-Of-Eve / nadir
Nadir is a library of bleeding-edge optimisers built for speed and functionality in PyTorch for researchers 💙
adabelief adam-optimizer adamax adamw optimization radam machine-learning pytorch lion adamp amsgrad sgd-optimizer
Language:Python 11
Lanping-Tech / PSOSGD
基于粒子群PSO+随机梯度下降SGD优化器的Pytorch训练框架
deep-learning pytorch pso-algorithm sgd-optimizer
Language:Python 7
thetechdude124 / Adam-Optimization-From-Scratch
📈Implementing the ADAM optimizer from the ground up with PyTorch and comparing its performance on six 3-D objective functions (each progressively more difficult to optimize) against SGD, AdaGrad, and RMSProp.
adam-optimizer artificial-intelligence deep-learning optimization-algorithms rmsprop sgd-optimizer
Language:Jupyter Notebook 7
zj10 / ND-Adam
ND-Adam is a tailored version of Adam for training DNNs.
adam-optimizer sgd-optimizer optimization-algorithms neural-networks deep-learning
Language:Python 6
AI-Expert-04 / Road_Object_Detection
Object recognition AI using deep learning
classification cnn dection deep-learning mobilenet retinanet rmsprop sgd-optimizer yolov3
Language:Python 5
plusminuschirag / Optimizers-Visualizations
A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc
python3 tensorflow pytorch optimizers rmsprop matplotlib numpy sgd-optimizer adam-optimizer amsgrad
Language:Jupyter Notebook 5
thieu1995 / MetaPerceptron
MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library
classification-models genetic-algorithm global-search metaheuristic-algorithms metaheuristics mlp multi-layer-perceptron nature-inspired-optimization neural-network particle-swarm-optimization regression-models whale-optimization-algorithm gradient-free-based-multi-layer-perceptron metaheuristic-based-multi-layer-perceptron adagrad-approach adam-optimizer sgd-optimizer adelta-optimizer
Language:Python 5
tr7200 / Adam_to_SGD
Tensorflow-Keras callback implementing arXiv 1712.07628
adam callback learning-rate sgd-optimizer switches
Language:Python 5
aditya9211 / MNIST-Classification-with-NeuralNet
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
mnist-classification mnist-digits neural-nets neural-networks python backpropagation-learning-algorithm backpropagation sgd-optimizer stochastic-gradient-descent momentum mini-batch-gradient-descent deskew pca dimensionality-reduction artificial-neural-networks python2 mnist-handwriting-recognition image-classification
Language:Python 3
AI-Expert-04 / School_Zone_Eye_Level
Prevention of accidents in school zones using deep learning
machine-learning ml backbone backbone-networks cnn coreml deep-learning object-detection onnx optimization pytorch sgd-optimizer tflite yolo yolov5
Language:Python 3
anishacharya / DeLiCoCo-IEEE-Transactions
In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.
federated-learning convex-optimization non-convex-optimization sgd sgd-optimizer machine-learning optimization-algorithms optimization optimization-methods distributed-systems distributed-computing high-performance-computing
Language:Python 3
Curovearth / Two_Spiral_Problem
The two-spiral Problem solved using the Stochastic Gradient Descent optimiser.
sgd sgd-optimizer two-spiral optimisation-algorithms optimisation gradient engineering neural spiral-problem interlocking-spiral-shapes neural-network
Language:Jupyter Notebook 3
wedgeCountry / Stochastic-Quasi-Newton
This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.
sgd sgd-optimizer quasi-newton proximal-regularization dictionary-learning
Language:Python 3
ahirsharan / MNIST
LeNet5 on MNIST with SGD and Adam
adam-optimizer classification lenet5 mnist sgd-optimizer
Language:Jupyter Notebook 2
jeongwhanchoi / MLND-Capstone-Project
Capstone Project for Udacity Machine Learning Nanodegree
udacity capstone iceberg mlnd-capstone iceberg-classifier deep-learning machine-learning ipython-notebook keras-tensorflow vgg16 transfer-learning image-augmentation dropout k-fold sgd-optimizer
Language:Jupyter Notebook 2
kshitijzutshi / INFO6105-CNN-Assignment
My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
pytorch pytorch-implementation pytorch-cnn image-classification kaggle intel-image-classification relu-activation elu-activation xavier-initializer kaiminghe adam-optimizer sgd-optimizer crossentropyloss nll-loss
Language:Jupyter Notebook 2
srinadhu / convolutional_nn
Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.
cs231n-assignment fully-connected-deep-neural-network batch-normalization dropout convolutional-neural-networks pytorch-cnn-classification sgd-optimizer sgd-moment rmsprop adam-optimizer cifar-10 pytorch
Language:Jupyter Notebook 2
ThinamXx / MNIST_CNN
In this repository, I have used CNN to MNIST Digit Classification Dataset. You can get insights about Convolutional Neural Network and its implementation for Handwritten Digit Classification.
mnist-classification convolutional-neural-networks adam-optimizer sgd-optimizer
Language:Jupyter Notebook 2
camara94 / choisir-son-modele-de-machine-learning
Le Machine Learning, aussi appelé apprentissage automatique en français, est une forme d’intelligence artificielle permettant aux ordinateurs d’apprendre sans avoir été programmés explicitement à cet effet.
machine-learning deep-learning neural-network knn sgd-classifier sgd-optimizer model data-science
1
gcalbertini / hpc_cuda_nyu
cuda hpc sgd-optimizer
Language:Jupyter Notebook 1
hossain-sanowar / Rossman_store_sales_prediction
Rossman store sales prediction Project Description Business Problem Rossmann manages approximately 3,000 pharmacies in seven European nations
decision-trees linear-regression machine-learning-algorithms numpy pandas random-forest sgd-optimizer
Language:Jupyter Notebook 1
irfanrob / Classification-CT-Scan-of-Covid-19
A deep learning classification program to detect the CT-scan results using python
deep-learning alexnet machine-learning covid-19 classification adam-optimizer sgd-optimizer adamax rmsprop adadelta gaussianfilter clahe
Language:Jupyter Notebook 1
maciejczarnacki / hindbrain.py
Artificial neural network package written in python
adam-optimizer mnist-classification neural neural-networks neural-networks-from-scratch numpy rmsprop-optimizer sgd-optimizer xor
Language:Python 1
Prasad-mutnale / Lung-Cancer-Detection-Web-App
Lung Cancer Detection using RESNET-50 SGD Optimizer and integrated on web using React and Django.
deep-learning django django-rest-framework javascript reactjs resnet-50 sgd-optimizer
Language:JavaScript 1
saminheydarian / DeepLearning_Course_2021
Deep Learning Course | Home Works | Spring 2021 | Dr. MohammadReza Mohammadi
self-supervised-learning fine-tuning adam-optimizer image-captioning backpropagation time-series facial-expression-recognition sgd-optimizer deep-q-network spaceinvaders-v0 data-augmentation l2-regularization cnn rnn naive-bayes-classifier logistic-regression seq2seq-model batch-normalization triplet-loss pretext-task
Language:Jupyter Notebook 1
somjit101 / MNIST-Classification-Keras
A simple study on the use of Keras framework (with Tensorflow background) for a simple handwritten number image classification task with Deep Neural Networks.
keras neural-network deep-learning tensorflow mnist-classification mnist image-classification hyperparameter-tuning grid-search batch-normalization dropout-keras sgd-optimizer adam-optimizer
Language:Jupyter Notebook 1

sgd-optimizer

v-iashin / CS231n

bharathsudharsan / ML-MCU

JYWa / Overlap_Local_SGD

rdspring1 / Count-Sketch-Optimizers

Janus-Shiau / lookahead_tensorflow

bimalka98 / Computer-Vision-and-Image-Processing

Vercaca / NN-Backpropagation

sloth2012 / scalaML

JYWa / MATCHA

hiroyuki-kasai / SimpleDeepNetToolbox

Dawn-Of-Eve / nadir

Lanping-Tech / PSOSGD

thetechdude124 / Adam-Optimization-From-Scratch

zj10 / ND-Adam

AI-Expert-04 / Road_Object_Detection

plusminuschirag / Optimizers-Visualizations

thieu1995 / MetaPerceptron

tr7200 / Adam_to_SGD

aditya9211 / MNIST-Classification-with-NeuralNet

AI-Expert-04 / School_Zone_Eye_Level

anishacharya / DeLiCoCo-IEEE-Transactions

Curovearth / Two_Spiral_Problem

wedgeCountry / Stochastic-Quasi-Newton

ahirsharan / MNIST

jeongwhanchoi / MLND-Capstone-Project

kshitijzutshi / INFO6105-CNN-Assignment

srinadhu / convolutional_nn

ThinamXx / MNIST_CNN

camara94 / choisir-son-modele-de-machine-learning

gcalbertini / hpc_cuda_nyu

hossain-sanowar / Rossman_store_sales_prediction

irfanrob / Classification-CT-Scan-of-Covid-19

maciejczarnacki / hindbrain.py

Prasad-mutnale / Lung-Cancer-Detection-Web-App

saminheydarian / DeepLearning_Course_2021

somjit101 / MNIST-Classification-Keras