32 Open source projects that are alternatives of or similar to Backpropagation

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

Heterogeneous automatic differentiation ("backpropagation") in Haskell

A simple machine learning framework written in Swift 🤖

Data science teaching materials

Notes for Deep Learning Specialization Courses led by Andrew Ng.

A tiny neural network 🧠

📄 The math behind the neural network used for Olivia

Simple neural networks based only on Numpy

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

Deep Learning From Scratch

This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

simple neural network library in ANSI C

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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

Artificial Neural Network

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

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

Minimalistic Multiple Layer Neural Network from Scratch in Python.

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

No description or website provided.

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

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

This code is part of my post on Medium.

A simple multi-layer feed-forward neural network with backpropagation built in Swift.

Classifying the Blur and Clear Images

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

Awesome deep learning crate

The backpropagation algorithm explained and demonstrated.

Back Propagation, Python

Python library for diffraction tomography with the Born and Rytov approximations