8 results found Sort:
- Filter by Primary Language:
- Jupyter Notebook (3)
- Python (3)
- C++ (1)
- +
On the Variance of the Adaptive Learning Rate and Beyond
Created
2019-08-01
73 commits to master branch, last one 3 years ago
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
100 commits to main branch, last one 13 days 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 4 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 4 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