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247 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.

Pytorch Cnn Visualizations ⭐ 6,883

Pytorch implementation of convolutional neural network visualization techniques

Torchdiffeq ⭐ 4,882

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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

Genann ⭐ 1,398

simple neural network library in ANSI C

Lectures Labs ⭐ 1,309

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Neataptic ⭐ 978

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

Simple Neural Network ⭐ 723

A simple Python script showing how the backpropagation algorithm works.

Factor Network ⭐ 525

A simple factor network implementation written by JavaScript

Backpack ⭐ 504

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

Collection of papers

Grad Cam Pytorch ⭐ 438

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

Go Deep ⭐ 436

Artificial Neural Network

Mathematics ⭐ 386

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

Certigrad ⭐ 346

Bug-free machine learning on stochastic computation graphs

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN

Dann_py3 ⭐ 298

python 3 pytorch implementation of DANN

Python Neural Network ⭐ 278

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

Revnet Public ⭐ 273

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

Greedy_infomax ⭐ 272

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

Deep Learning From Scratch ⭐ 250

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

Slayerpytorch ⭐ 250

PyTorch implementation of SLAYER for training Spiking Neural Networks

Deepneuralclassifier ⭐ 243

Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset.

Backpropagation ⭐ 240

Implementing multilayer neural networks through backpropagation using Java.

Understanding Nn ⭐ 222

Tensorflow tutorial for various Deep Neural Network visualization techniques

Visualisation tool for CNNs in pytorch

Neural Network From Scratch ⭐ 211

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

Make_a_neural_network ⭐ 196

This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube

Keras Lmu ⭐ 196

Keras implementation of Legendre Memory Units

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Probabilistic Backpropagation ⭐ 159

Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

Deeplearning_plantdiseases ⭐ 156

Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

Build neural networks based only on Numpy

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

M3d Cam ⭐ 119

The Math Behind A Neural Network ⭐ 118

📄 The math behind the neural network used for Olivia

Visual Attribution ⭐ 117

Pytorch Implementation of recent visual attribution methods for model interpretability

A tiny neural network 🧠

Torchcubicspline ⭐ 112

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

Neural Net Ruby ⭐ 105

A neural network, written in Ruby

Towards A Biologically Plausible Backprop ⭐ 102

Deep Learning Coursera ⭐ 102

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

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.

Clojure Neural Network Library

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

Neuroduino ⭐ 79

An artificial neural network library for the Arduino

Minimal Nn ⭐ 73

A minimal implementation of neural network for MNIST experiment. Used as an exercise to help understanding Backpropagation by implementing it in NumPy.

Unsupervised Segmentation ⭐ 67

A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki

Forward Thinking Pytorch ⭐ 66

Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

Theoretical Proof Of Neural Network Model And Implementation Based On Numpy ⭐ 66

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 ⭐ 59

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

Excitationbp ⭐ 59

Visualizing how deep networks make decisions

Bnns Cocoa Example ⭐ 59

An example of a neural network trained by tensorflow and executed using BNNS

Bp Algorithm ⭐ 59

一文彻底搞懂BP算法：原理推导+数据演示+项目实战

Julia artificial neural networks

Blur And Clear Classification ⭐ 56

Classifying the Blur and Clear Images

anomaly detection with GAN

Stbp Simple ⭐ 55

A simple direct training implement for SNNs using Spatio-Temporal Backpropagation

Machine Learning In Python Workshop ⭐ 54

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

Forward Warp ⭐ 52

An optical flow forward warp's lib with backpropagation using pytorch.

Domain_adaptation ⭐ 50

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/m i realized it on mnist.

Pytorch Dann ⭐ 49

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

Artificialintelligenceengines ⭐ 48

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

JAX-based Spiking Neural Network framework

Grad Cam Pytorch ⭐ 44

Class Activation Map(CAM) with Pytorch

Sparse Hyper ⭐ 44

Code for the paper "Learning sparse transformations through backpropagation"

Bipropagation ⭐ 41

Openset Da ⭐ 41

Code for 'Open Set Domain Adaptation by Backpropagation'

Ml Simple Works ⭐ 40

Coursera Machine Learning In Python ⭐ 39

machine learning algorithms in python from scratch

Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) using keras with Tensorflow backend

Backpropthroughthevoidrl ⭐ 38

RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

Neural Network From Scratch ⭐ 38

A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs

Backpropagation_explained ⭐ 37

This is the code for "Backpropagation Explained" By Siraj Raval on Youtube

Nn_interpretability ⭐ 37

Pytorch implementation of various neural network interpretability methods

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

Proxprop ⭐ 35

Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps

Neuralduino ⭐ 35

The only dynamic and reconfigurable Artificial Neural networks library with back-propagation for arduino

Revisiting_saliency ⭐ 34

There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)

Differentiation ⭐ 32

Implementing (parts of) TensorFlow (almost) from Scratch

Gp Gomea ⭐ 32

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

Lkydeepnn ⭐ 31

Low dependency（C++11 STL only）, good portability, header-only, deep neural networks for embedded

Learning Lab C Library ⭐ 30

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

Memformer ⭐ 30

Implementation of Memformer, a Memory-augmented Transformer, in Pytorch

Learningtolearnbohp ⭐ 30

Backpropagation training of neural networks with Hebbian plastic connections

Biologically-Inspired and Machine Learning Algorithms written in Python

Swiftsimpleneuralnetwork ⭐ 28

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

Substation ⭐ 28

Research and development for optimizing transformers

Abstractoperators.jl ⭐ 28

Abstract operators for large scale optimization in Julia

Diffhask ⭐ 26

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

Hybrid Snn Conversion ⭐ 26

Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

Odtbrain ⭐ 26

Python library for diffraction tomography with the Born and Rytov approximations

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

Dl Glossary ⭐ 25

📑 The Open Source Deep Learning Glossary

Related Searches

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