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Machine Learning
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Backpropagation
52 Open Source Backpropagation Software Projects
Free and open source backpropagation code projects including engines, APIs, generators, and tools.
Genann
1043 ⭐
simple neural network library in ANSI C
Mathematics
395 ⭐
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
Go Deep
287 ⭐
Artificial Neural Network
Deep Learning From Scratch
254 ⭐
Six snippets of code that made deep learning what it is today.
Backpropagation
241 ⭐
Implementing multilayer neural networks through backpropagation using Java.
Ahmedbesbes Neural Network From Scratch
221 ⭐
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Backprop
151 ⭐
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Somnibyte Mlkit
144 ⭐
A simple machine learning framework written in Swift 🤖
Teaching Monolith
122 ⭐
Data science teaching materials
The Math Behind A Neural Network
120 ⭐
📄 The math behind the neural network used for Olivia
Nn
118 ⭐
A tiny neural network 🧠
Simple Neural Networks
114 ⭐
Simple neural networks based only on Numpy
Machine_learning_2018
117 ⭐
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Fotisk07 Deep Learning Coursera
112 ⭐
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Selfdrivingcar
93 ⭐
A collection of all projects pertaining to different layers in the SDC software stack
Theoretical Proof Of Neural Network Model And Implementation Based On Numpy
65 ⭐
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。
Rcnn_mdp
63 ⭐
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
Blur And Clear Classification
62 ⭐
Classifying the Blur and Clear Images
Simple Machine Learning Demo
60 ⭐
simple machine learning demo
Machine Learning In Python Workshop
59 ⭐
My workshop on machine learning using python language to implement different algorithms
Excitationbp
51 ⭐
Visualizing how deep networks make decisions
Dataforscience Deeplearning
51 ⭐
Deep Learning From Scratch
Mikhailkravets Neuroflow
49 ⭐
Awesome deep learning crate
Medium Python Neural Network
36 ⭐
This code is part of my post on Medium.
Neuralduino
34 ⭐
The only dynamic and reconfigurable Artificial Neural networks library with back-propagation for arduino
Rubixml Sentiment
36 ⭐
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
V Iashin Cs231n
33 ⭐
My Solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Swiftsimpleneuralnetwork
29 ⭐
A simple multi-layer feed-forward neural network with backpropagation built in Swift.
Character Recognition By Neural Network
28 ⭐
Back Propagation, Python
Mlp
26 ⭐
Simple multilayer perceptron c++ implementation.
Diffhask
26 ⭐
DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.
Newbie_neural_network_practice
27 ⭐
适合新手学习的神经网络实践教程+代码。a awesome neural network practice project for newbie.我的CSDN博客：
Artificialintelligenceengines
26 ⭐
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Mm Bp Snn
25 ⭐
Whitebox Part1
22 ⭐
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Minimalistic Multiple Layer Neural Network From Scratch In Python
21 ⭐
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Differential Machine Learning Notebooks
27 ⭐
Implement, demonstrate, reproduce and extend the results of the article 'Differential Machine Learning' (Huge & Savine, 2020), and cover implementation details left out of the working paper
Deeplearning
17 ⭐
deeplearning tour
Ai Backpropagation
17 ⭐
The backpropagation algorithm explained and demonstrated.
Pso For Neural Nets
17 ⭐
Particle Swarm Optimizer For Neural Network Training
Recurrent JS
14 ⭐
[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.
Therfoo
16 ⭐
An embedded deep learning library for Go.
Learning Lab C Library
13 ⭐
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 constatly updated
Odtbrain
12 ⭐
Python library for diffraction tomography with the Born and Rytov approximations
Feedback Alignment Pytorch
12 ⭐
Implementation of feedback alignment learning in PyTorch
Model Based Rl
11 ⭐
Model-based Policy Gradients
Appendices
12 ⭐
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
Nim Rmad
11 ⭐
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
Computational Graph
10 ⭐
Efficiently performs automatic differentiation on arbitrary functions. Basically a rudimentary version of Tensorflow.
Caip2017
10 ⭐
A Multilayer Backpropagation Saliency Detection Algorithm Based on Depth Mining
Rnn Rc Chaos
13 ⭐
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
bad-slug
17 ⭐
A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.