GitHub topics: optimizer-algorithms
NoteDance/optimizers
This project implements optimizers for TensorFlow and Keras, which can be used in the same way as Keras optimizers. Machine learning, Deep learning
Language: Python - Size: 746 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 18 - Forks: 3

I-Halder/ML-algorithm-from-scratch
This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.
Language: Python - Size: 40 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

clovaai/AdamP
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
Language: Python - Size: 4.89 MB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 414 - Forks: 52

MeforgersDev/AixrOptima
AixrOptima is an artificial intelligence startup that speeds up the process process by integrating quantum circuits.
Language: Python - Size: 436 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

SubhangiSati/Multi-class-classification-of-Bird-species
The Bird Species Classifier is an application built using a Convolutional Neural Network (CNN) to classify images of birds into one of 525 different species. It allows users to upload an image of a bird and receive a prediction of the bird species. Along with analysing the performance of various optimising algorithms.
Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

LuisFelipePoma/Machine_Learning
Learning about the algorithms used in machine learning, along with techniques for training and testing models.
Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 16 days ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

inikishev/image-descent
Pytorch library to test optimizers by visualizing how they descend on a your images. You can draw your own custom loss landscape and see what different optimizers do.
Language: Jupyter Notebook - Size: 40.6 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

muslll/adan_schedule_free
Unofficial implementation of the Adan optimizer with Schedule-Free
Language: Python - Size: 20.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Octo-Opt/DemOpt
The project aims to investigate deep learning's optimizers.
Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

BennyGK15/TINF20C_ML_Adam-Optimizer
Introduction to the Adam Optimizer with examples
Language: Jupyter Notebook - Size: 47.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Prashant812/optimizers-and-autoencoders
Training the fully connected neural network (FCNN) using different optimizers for the backpropagation algorithm and compare the number of epochs that it takes for convergence along with their classification performance. Also building an autoencoder to obtain the hidden representation and use it for classification.
Language: Jupyter Notebook - Size: 7.13 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

uli-wizrd/Optimizers-Optimizadores
En el siguiente repositorio encontrarás material relacionado con optimizadores usados en metodologías de aprendizaje de maquina. In the following repository you'll find examples of optimizers used in machine learning methods
Language: Python - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

maideas/numpy-neural-network
A NumPy based Neural Network Package Implementation
Language: Python - Size: 91.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Arijit1000/Tensorflow_Sinewave_Prediction
Generating a TensorFlow model that predicts values in a sinewave
Language: Jupyter Notebook - Size: 108 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

mansi-k/DeepFrankWolfie_Optimizer
Experimented with and compared DFW neural network optimizer with SGD and ADAM on both vision and language tasks
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
