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49 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

Lectures Labs ⭐ 1,309

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

Go Deep ⭐ 436

Artificial Neural Network

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.

Understanding Nn ⭐ 222

Tensorflow tutorial for various Deep Neural Network visualization techniques

Visualisation tool for CNNs in pytorch

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Backprop ⭐ 180

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Deeplearning_plantdiseases ⭐ 156

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

Deeplearning ⭐ 120

Deep Learning From Scratch

The Math Behind A Neural Network ⭐ 118

📄 The math behind the neural network used for Olivia

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

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.

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

Forward Thinking Pytorch ⭐ 66

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

Bp Algorithm ⭐ 59

一文彻底搞懂BP算法：原理推导+数据演示+项目实战

Excitationbp ⭐ 59

Visualizing how deep networks make decisions

Machine Learning In Python Workshop ⭐ 54

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

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

Nn_interpretability ⭐ 37

Pytorch implementation of various neural network interpretability methods

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

Diffhask ⭐ 26

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

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

Hybrid Snn Conversion ⭐ 26

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

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

Cerebrum ⭐ 24

Cerebrum.js is a neural network library created in pure JavaScript.

An open source deep learning framework

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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

An embedded deep learning library for Go.

Backpropagation ⭐ 16

My derivation of the backpropagation algorithm used in deep neural networks.

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

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.

Fluxutils.jl ⭐ 13

Sklearn Interface and Distributed Training for Flux.jl

Neural Networks Py ⭐ 12

Core neural networks framework supporting to build multilayer perceptron

Deep Learning Math ⭐ 11

《深度学习的数学》的随书Excel文件

Nim Rmad ⭐ 10

Autograd (backpropagation, reverse-mode auto differentiation) in Nim

A deep, functional, idiomatic, neural-network in Clojure.

Deeplearning.ai Deep Learning Specialization ⭐ 9

This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

Quantization-aware training with spiking neural networks

Dl Playground ⭐ 9

Exercises & challenges for aspiring deep learners

Automatic differentiation in python

Deep Generative Model (Torch)

Policy Gradient Network Arduino ⭐ 9

Aprendiendodeeplearning ⭐ 7

Enlaces y recursos sobre redes neuronales y deep learning

Neuralswift ⭐ 7

The simplest neural network library on Swift

A simple Java AI library for personal use.

Deep Learning For Professionals ⭐ 6

For the Galvanize Deep Learning Evening Course 9/18

Mnist Ai Up ⭐ 6

Learning deep learning 😎 and neuroevolution 👾 ⭐

Most Influential Data Science Research Papers ⭐ 6

"Data scientists are kind of like the new Renaissance folks, because data science is inherently multidisciplinary." ― John Foreman

Computational Intelligence Packages (CIP) for Mathematica

Deepneuralnetworksfromscratch ⭐ 5

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

An educational platform to help students develop a mathematical intuition for deep learning

Neural Networks And Deep Learning Ko ⭐ 5

Translation of Neural Networks and Deep Learning by Michael Nielsen

Grokking Deep Learning Notebooks ⭐ 5

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

One Fourth Labs Deep Learning ⭐ 5

Code and Documents related to Deep Learning Course at padh.ai

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