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sgd-optimizer

Here are 119 public repositories matching this topic...

v-iashin / CS231n

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Updated Jan 27, 2021
Jupyter Notebook

bharathsudharsan / ML-MCU

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

machine-learning microcontroller optimization gradient-descent online-learning incremental-learning edge-computing classifier-training sgd-optimizer armcortexm4 armcortexm0 tinyml

Updated Oct 24, 2022
C

JYWa / Overlap_Local_SGD

Implementation of (overlap) local SGD in Pytorch

deep-learning pytorch distributed-optimization sgd-optimizer

Updated Jul 12, 2020
Python

rdspring1 / Count-Sketch-Optimizers

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch

hashing deep-learning neural-network pytorch transformer imagenet count-min-sketch language-model adagrad adam-optimizer sgd-optimizer count-sketch sgd-momentum

Updated Nov 26, 2019
Python

JYWa / MATCHA

Communication-efficient decentralized SGD (Pytorch)

deep-learning pytorch distributed-optimization distributed-training sgd-optimizer

Updated Mar 17, 2020
Python

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 ❄

opencv computer-vision numpy image-processing matplotlib gradient-descent opencv-python cnn-keras sgd-optimizer minibatch-sgd image-zooming cv2-library counting-rice-grains nut-counting

Updated Nov 11, 2021
Jupyter Notebook

Janus-Shiau / lookahead_tensorflow

Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow

deep-learning tensorflow optimizer adam-optimizer sgd-optimizer

Updated Sep 3, 2019
Python

Vercaca / NN-Backpropagation

Implement a Neural Network trained with back propagation in Python

python machine-learning neural-network gradient-descent backpropagation stochastic-gradient-descent sgd-optimizer

Updated Jul 28, 2022
Python

sloth2012 / scalaML

Implement some ML algorithms in scala

scala ftrl sgd-optimizer

Updated Jul 25, 2023
Scala

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.

deep-learning artificial-intelligence optimization-algorithms rmsprop adam-optimizer sgd-optimizer

Updated Jul 2, 2022
Jupyter Notebook

hiroyuki-kasai / SimpleDeepNetToolbox

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Updated Apr 16, 2019
MATLAB

nadir

OptimalFoundation / nadir

Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻

machine-learning optimization pytorch lion adam-optimizer adamax sgd-optimizer amsgrad adamw radam adamp adabelief

Updated Jun 15, 2024
Python

thieu1995 / MetaPerceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

neural-network genetic-algorithm mlp regression-models multi-layer-perceptron particle-swarm-optimization metaheuristics global-search adam-optimizer sgd-optimizer classification-models metaheuristic-algorithms whale-optimization-algorithm nature-inspired-optimization adagrad-approach metaheuristic-based-multi-layer-perceptron gradient-free-based-multi-layer-perceptron adelta-optimizer

Updated Jun 4, 2025
Python

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 sgd-optimizer pso-algorithm

Updated Sep 26, 2021
Python

zj10 / ND-Adam

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

deep-learning neural-networks optimization-algorithms adam-optimizer sgd-optimizer

Updated Sep 19, 2018
Python

pyrddlgym-project / pyRDDLGym-jax

JAX compilation of RDDL description files, and a differentiable planner in JAX.

Updated Jul 4, 2025
Python

AI-Expert-04 / Road_Object_Detection

Object recognition AI using deep learning

deep-learning cnn classification rmsprop dection mobilenet retinanet sgd-optimizer yolov3

Updated Mar 17, 2023
Python

tr7200 / Adam_to_SGD

Tensorflow-Keras callback implementing arXiv 1712.07628

callback switches learning-rate adam sgd-optimizer

Updated Mar 24, 2023
Python

plusminuschirag / Optimizers-Visualizations

A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc

tensorflow numpy python3 pytorch matplotlib rmsprop adam-optimizer sgd-optimizer amsgrad optimizers

Updated Aug 1, 2020
Jupyter Notebook

avnlp / hyperparameter-tuning

Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance

hyperparameter-tuning adam-optimizer sgd-optimizer sgd-momentum optimizers rmsprop-optimizer

Updated Apr 16, 2025
Python

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