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53 search results found

Pytorch Grad Cam ⭐ 8,723

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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

Neataptic ⭐ 978

🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Collection of papers

Certigrad ⭐ 346

Bug-free machine learning on stochastic computation graphs

Backpropagation ⭐ 240

Implementing multilayer neural networks through backpropagation using Java.

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Machine_learning_2018 ⭐ 146

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

A simple machine learning framework written in Swift 🤖

Deeplearning ⭐ 120

Deep Learning From Scratch

The Math Behind A Neural Network ⭐ 118

📄 The math behind the neural network used for Olivia

A tiny neural network 🧠

Notebooks ⭐ 101

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.

Sentiment ⭐ 85

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

Neuroflow ⭐ 85

Awesome deep learning crate

Rcnn_mdp ⭐ 59

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

Bp Algorithm ⭐ 59

一文彻底搞懂BP算法：原理推导+数据演示+项目实战

Blur And Clear Classification ⭐ 56

Classifying the Blur and Clear Images

Machine Learning In Python Workshop ⭐ 54

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

Artificialintelligenceengines ⭐ 48

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

Sparse Hyper ⭐ 44

Code for the paper "Learning sparse transformations through backpropagation"

Ml Simple Works ⭐ 40

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

Gp Gomea ⭐ 32

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

Dl Glossary ⭐ 25

📑 The Open Source Deep Learning Glossary

Appendices ⭐ 25

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

Simple multilayer perceptron c++ implementation.

Binarygan ⭐ 22

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Newbie_neural_network_practice ⭐ 21

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：

New_grad ⭐ 18

A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.

Deeplearning ⭐ 17

deeplearning tour

Neuralnetworkplayground ⭐ 17

A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters

Whitebox Part1 ⭐ 16

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

A tiny deep learning library written in Java

Ai Backpropagation ⭐ 15

The backpropagation algorithm explained and demonstrated.

Machinelearning ⭐ 13

From linear regression towards neural networks...

Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.

Automatic differentiation in python

🧠 A simple feedforward neural network

Mnist_neural_network ⭐ 8

An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.

Feature Vis Yolov3 ⭐ 7

Feature visualization tool for YOLOv3, a real-time objection detection algorithm using a deep convolutional network with a Darknet backbone. Visualizes performance attributes via saliency maps to identify how features in the input pixel space influence our network’s predictions in terms of classification and localization

Neuralswift ⭐ 7

The simplest neural network library on Swift

🧠 ∿ 🔓 A file-storage application with ultra-mega-secure authentication using brain biometrics.

Andrew Machine Learning ⭐ 6

The machine learning notebook for the course of Andrew Ng

Mlproject ⭐ 6

Project for the Machine Learning course

A simple Java AI library for personal use.

C_neuralnetwork ⭐ 6

A Neural Network Kernel written in C and uses python wrappers for interacting with the kernel

A neural network library written simply, efficiently and clearly. Supports convolutional NN.

Encog is a NodeJs ES6 framework based on the Encog Machine Learning Framework by Jeff Heaton.

Backpropagation Neural Network For Multivariate Time Series Forecasting ⭐ 5

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)

Computational Intelligence Packages (CIP) for Mathematica

Grokking Deep Learning Notebooks ⭐ 5

Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask

Ai Backpropagation Continued ⭐ 5

This section explores a few of the problems (and solutions) to neural networks and backpropagation.

Exercise Breast Cancer ⭐ 5

Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.

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