The Wayback Machine - https://web.archive.org/web/20210904040845/https://github.com/topics/adam-optimizer
Here are
158 public repositories
matching this topic...
On the Variance of the Adaptive Learning Rate and Beyond
Updated
Jul 31, 2021
Python
Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.
Updated
May 16, 2020
Python
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
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, achieving state-of-the-art training performance
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Updated
Mar 4, 2018
Jupyter Notebook
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge
Updated
Apr 13, 2019
Python
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Updated
Jan 27, 2021
Jupyter Notebook
Implemented Adam optimizer in python
Updated
Jun 8, 2017
Python
Toy implementations of some popular ML optimizers using Python/JAX
Updated
Jun 20, 2021
Python
CS F425 Deep Learning course at BITS Pilani (Goa Campus)
Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow
Updated
Sep 3, 2019
Python
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.
Updated
Aug 16, 2016
Python
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Updated
Nov 26, 2019
Python
Learning about Haskell with Variational Autoencoders
Updated
Nov 16, 2019
Haskell
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constatly updated
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Updated
Mar 23, 2019
Python
XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
Updated
Jul 24, 2020
Jupyter Notebook
Improved Hypergradient optimizers, providing better generalization and faster convergence.
Updated
Jul 22, 2021
Jupyter Notebook
Short description for quick search
Updated
Jan 31, 2019
Python
Implemenation of DDPG with numpy only (without Tensorflow)
Updated
Mar 4, 2018
Python
Implement different variants of gradient descent in python using numpy
Updated
Apr 23, 2019
Jupyter Notebook
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Updated
Jul 14, 2021
Python
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
Updated
Nov 26, 2019
Jupyter Notebook
Hands on implementation of gradient descent based optimizers in raw python
Updated
Dec 20, 2018
Jupyter Notebook
Generate novel artistic images using neural style transfer algorithm
Updated
Nov 29, 2017
Python
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
Updated
Aug 29, 2021
Python
A facial emotion/expression recognition model created using CNN with Keras & Tensorflow
Updated
Nov 8, 2020
Jupyter Notebook
ND-Adam is a tailored version of Adam for training DNNs.
Updated
Sep 19, 2018
Python
A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc
Updated
Aug 1, 2020
Jupyter Notebook
Improve this page
Add a description, image, and links to the
adam-optimizer
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
adam-optimizer
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.