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.

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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

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

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

A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

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

深度学习常用优化方法详解

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

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.

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

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

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