Gorgonia is a library that helps facilitate machine learning in Go.

Fast and Easy Infinite Neural Networks in Python

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types

Image morphing without reference points by applying warp maps and optimizing over them.

The simplest form of an artificial neural network explained and demonstrated.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Implementing Multiple Layer Neural Network from Scratch

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

深度学习常用优化方法详解

Six snippets of code that made deep learning what it is today.

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Implementation of basic ML algorithms from scratch in python...

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Gradient based hyperparameter optimization & meta-learning package for TensorFlow