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GitHub topics: adamax

OptimalFoundation/nadir

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

Language: Python - Size: 22.8 MB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 14 - Forks: 3

Arunprakash-A/ML-DL-LLM-Animations

Repo for all animations created for the ML, DL and LLM course

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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

A deep learning classification program to detect the CT-scan results using python

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

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

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

Language: Python - Size: 58.6 KB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 6

Quwarm/NN-Data-Classification

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

Language: Python - Size: 121 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

somefunAgba/deeplearningWithMatlabinPy

Investigating the Behaviour of Deep Neural Networks for Classification

Language: Python - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

SSS135/gadam

Generalization of Adam, AdaMax, AMSGrad algorithms for PyTorch

Language: Python - Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

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.

Language: Python - Size: 1.3 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

nducthang/Optimization-DeepLearning-Vietnamese

The optimization methods in deep learning explained by Vietnamese such as gradient descent, momentum, NAG, AdaGrad, Adadelta, RMSProp, Adam, Adamax, Nadam, AMSGrad.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 2

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.

Language: Python - Size: 30.9 MB - Last synced at: 18 days ago - Pushed at: over 8 years ago - Stars: 26 - Forks: 9

projektdexter/traffic_sign_detection

traffic sign detection using ML

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

2ailesB/online-sequential-optimization

Course from O. Wintenberger for Master M2A at Sorbonne University : Online Convex Optimization

Language: Jupyter Notebook - Size: 885 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

nisheethjaiswal/ROLLING-DOWN-A-CROWDED-VALLEY-OF-OPTIMIZERS-DEVELOPMENTS-FROM-SGD

Deep Learning Optimizers

Language: HTML - Size: 7.21 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

pranavphoenix/Optimizer-lr-tuning

Analyze the performance of 7 optimizers by varying their learning rates

Language: Jupyter Notebook - Size: 342 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

g-eoj/deep-learning-notebooks

Collection of notebooks I made on deep learning topics.

Language: Jupyter Notebook - Size: 599 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

Related Keywords
adamax 15 adam 9 rmsprop 8 adam-optimizer 7 gradient-descent 6 amsgrad 6 deep-learning 5 adagrad 5 optimization-algorithms 5 adadelta 5 sgd-optimizer 4 nadam 4 machine-learning 4 optimization 3 neural-network 3 sgd 3 deep-neural-networks 2 dropout 2 python 2 stochastic-gradient-descent 2 optimization-methods 2 relu 2 softmax 2 optimizer 2 classification 2 pytorch 2 adabelief 2 optimizers 2 visualization 1 n-adam 1 mini-batch-gradient-descent 1 svm 1 stochastic-mirror-descent 1 stochastic-exponential-gradient 1 online-newton-step 1 tensorflow 1 sklearn 1 road-signs 1 regression 1 mlops 1 driver-behavior 1 convolutional-neural-networks 1 classification-algorithm 1 autonomous-driving 1 artificial-neural-networks 1 notebook 1 math 1 cs231n 1 convolutional-neural-network 1 backpropagation 1 unet-image-segmentation 1 unet 1 mri-images 1 lr 1 learning-rate 1 hyperparameters 1 hyperparameter-tuning 1 hyperparameter-optimization 1 cardiac-segmentation 1 visualizing-optimizers 1 sgd-momentum 1 nestrov-accelereated-gradient 1 nestrov 1 gd 1 gradient-descent-momentum 1 counter-propagation 1 back-propagation 1 stochastic-optimizers 1 stochastic-optimization 1 mgd 1 nag 1 nesterov-momentum 1 nesterov-accelerated-sgd 1 momentum 1 gradient-descent-algorithm 1 alexnet 1 gradient-boosting 1 batch-gradient-descent 1 clahe 1 gaussianfilter 1 covid-19 1 artificial-intelligence 1 time-series 1 rnn 1 recurrent-neural-networks 1 random-forest-regressor 1 pca-analysis 1 leaky-relu 1 adamp 1 adamw 1 lion 1 numbers 1 images 1 radam 1 cross-entropy 1 black-and-white 1 batch-normalization 1 backpropagation-learning-algorithm 1 dl 1