数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

simple neural network library in ANSI C

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Deep Learning From Scratch

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

A collection of all projects pertaining to different layers in the SDC software stack

Deep learning in Rust, with shape checked tensors and neural networks

Implementing multilayer neural networks through backpropagation using Java.

My workshop on machine learning using python language to implement different algorithms

Artificial Neural Network

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

This code is part of my post on Medium.

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

Build neural networks based only on Numpy

Data science teaching materials

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth