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On the Variance of the Adaptive Learning Rate and Beyond
Created
2019-08-01
73 commits to master branch, last one 3 years ago
Educational deep learning library in plain Numpy.
Created
2017-06-03
20 commits to master branch, last one 5 years ago
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
Created
2020-06-30
48 commits to master branch, last one 3 years ago
CS F425 Deep Learning course at BITS Pilani (Goa Campus)
Created
2021-08-18
99 commits to main branch, last one about a year ago
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achiev...
Created
2020-04-10
99 commits to master branch, last one 3 years ago
Lion and Adam optimization comparison
Created
2023-02-21
5 commits to master branch, last one about a year ago
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
lstm
numpy
pytorch
solutions
assignment
tensorflow
deep-learning
sgd-optimizer
adam-optimizer
neural-network
style-transfer
svm-classifier
backpropagation
computer-vision
jupyter-notebook
machine-learning
stanford-university
recurrent-neural-networks
convolutional-neural-networks
generative-adversarial-network
Created
2018-04-08
40 commits to master branch, last one 3 years ago
Toy implementations of some popular ML optimizers using Python/JAX
Created
2021-06-20
9 commits to master branch, last one 3 years ago