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
