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adamax

Here are 8 public repositories matching this topic...

yaricom / TimeSeriesLearning

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

deep-neural-networks deep-learning time-series recurrent-neural-networks pca-analysis rnn adagrad rmsprop leaky-relu adam-optimizer random-forest-regressor adamax

Updated Aug 16, 2016
Python

harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

Updated Mar 23, 2019
Python

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

guyez / Optimization-Algorithms

A comparison between implementations of different gradient-based optimization algorithms (Gradient Descent, Adam, Adamax, Nadam, Amsgrad). The comparison was made on some of the most common functions used for testing optimization algorithms.

gradient-descent optimization-algorithms adam adam-optimizer adamax amsgrad nadam

Updated Jul 28, 2020
Python

Quwarm / NN-Data-Classification

Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation

python neural-network adadelta gradient-descent adam adagrad rmsprop back-propagation adamax gradient-descent-momentum counter-propagation

Updated Aug 10, 2021
Python

SSS135 / gadam

Generalization of Adam, AdaMax, AMSGrad algorithms for PyTorch

python deep-learning neural-network optimization optimizer pytorch optimization-algorithms adam adam-optimizer adamax amsgrad

Updated Aug 14, 2018
Python

somefunAgba / deeplearningWithMatlabinPy

Investigating the Behaviour of Deep Neural Networks for Classification

deep-neural-networks deep-learning optimization images dropout batch-normalization numbers classification gradient-descent backpropagation-learning-algorithm rmsprop softmax cross-entropy adamax black-and-white relu

Updated Oct 7, 2018
Python

projektdexter / traffic_sign_detection

traffic sign detection using ML

machine-learning neural-network tensorflow sklearn regression artificial-intelligence artificial-neural-networks convolutional-neural-networks autonomous-driving classification-algorithm softmax adamax road-signs driver-behavior relu mlops

Updated Nov 24, 2022
Python

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