Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Deep learning library in plain Numpy.

A tour of different optimization algorithms in PyTorch.

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

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

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.

From linear regression towards neural networks...

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

implementation of factorization machine, support classification.

Simple MATLAB toolbox for deep learning network: Version 1.0.3

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

Hands on implementation of gradient descent based optimizers in raw python

Implementation of Convex Optimization algorithms

Song lyrics generation using Recurrent Neural Networks (RNNs)

a python script of a function summarize some popular methods about gradient descent

Python library for neural networks.

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

Repository for machine learning problems implemented in python

Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation