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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