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18 search results found

Radam ⭐ 2,393

On the Variance of the Adaptive Learning Rate and Beyond

Deepnet ⭐ 267

Implementations of CNNs, RNNs and deep learning techniques in pure Numpy

Optimizer Visualization ⭐ 101

Visualize Tensorflow's optimizers.

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Adam Optimizer ⭐ 28

Implemented Adam optimizer in python

Ml Optimizers Jax ⭐ 23

Toy implementations of some popular ML optimizers using Python/JAX

Lookahead_tensorflow ⭐ 21

Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow

Gradient Descent Algorithms ⭐ 19

A collection of various gradient descent algorithms implemented in Python from scratch

Deeplearning_from_scratch ⭐ 16

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Timeserieslearning ⭐ 14

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.

Count Sketch Optimizers ⭐ 10

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch

Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization ⭐ 9

Short description for quick search

Ddpg_numpy_only ⭐ 9

Implemenation of DDPG with numpy only (without Tensorflow)

Gradientdescent_implementation ⭐ 8

Implement different variants of gradient descent in python using numpy

Nadir is a library of bleeding-edge optimisers built for speed and functionality in PyTorch for researchers 💙

Digit Recognizer ⭐ 8

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

Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder ⭐ 7

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

Neural Style Transfer ⭐ 6

Generate novel artistic images using neural style transfer algorithm

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Optimizers Visualizations ⭐ 5

A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc

ND-Adam is a tailored version of Adam for training DNNs.

Gradient Descent ⭐ 5

A research project on enhancing gradient optimization methods

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