Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

https://github.com/meqdaddev/teachable-machine

A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.

classification-algorithm cnn-classification deep-learning deep-neural-networks image-classification image-processing keras machine-learning opencv opencv-python python

Last synced: 21 Mar 2025

https://github.com/starxsky/tacotron2-jp

Base on "tacotron2-jpanese" builded & change

deep-neural-networks gpu metal-performance-shaders pytorch tacotron tts

Last synced: 02 May 2025

https://github.com/matteofasulo/weaviate-search-engine

Vector database (Weaviate) to build an image search engine powered by a deep neural network

deep-neural-networks docker docker-compose python streamlit weaviate

Last synced: 14 May 2025

https://github.com/sovit-123/american-sign-language-detection-using-deep-learning

This project aims to detect American Sign Language using PyTorch and deep learning. The neural network can also detect the sign language letters in real-time from a webcam video feed.

american-sign-language-recognition computer-vision convolutional-neural-networks deep-learning deep-neural-networks machine-learning neural-networks pytorch

Last synced: 11 Apr 2025

https://github.com/ac-alpha/vaes-using-pytorch

Variational Autoencoders trained on MNIST Dataset using PyTorch

deep-learning deep-neural-networks pytorch pytorch-cnn pytorch-implmention vae

Last synced: 14 May 2025

https://github.com/shivamgupta92/analysis-of-market-trends-using-deep-learning

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

deep-neural-networks keras mysql numpy pandas python3 scikit-learn-api tensorflow time-series-analysis yfinance-api

Last synced: 11 Jan 2025

https://github.com/aditya30394/reverse-image-captioning

Text to Image Generation (Reverse image captioning): This task is just the reverse of image captioning task. Here, we are trying to generate the images that best fits the textual description.

cnn deep-learning deep-neural-networks gan generative-adversarial-network image-generation python pytorch

Last synced: 19 Apr 2025

https://github.com/epignatelli/tensorflowvisual

Building tensorflow graphs and running deep learning predictions from your favourite visual programming interface

csharp deep-learning deep-neural-networks grasshopper net-framework tensorflow visual-programming

Last synced: 02 Mar 2025

https://github.com/maksof-jawad/awesome-ai

Learn Awesome list for all things AI, ML and deep learning can do

ai aritificial-intelligence course deep-neural-networks learning machine-learning tutorials

Last synced: 05 Dec 2024

https://github.com/vmirly/the-art-of-deep-learning

Deep learning resources: articles, tutorials, ...

deep-learning deep-neural-networks machine-learning

Last synced: 08 May 2025

https://github.com/fardinhash/stock-data-forecasting

Stock Data forecasting analysis based on SVM, Linear Regression, Deep Neural Network & Logistic Regression. Analyzed on real-time data. Predicted for Next 7 days.

deep-neural-networks linear-regression logistic-regression lstm stock-analysis stock-market stock-prediction stock-price-prediction stock-prices support-vector-machines svm

Last synced: 04 Mar 2025

https://github.com/shreyasbapat/fabric-detection

Detecting Fabric by Deep Learning Approach : Includes Classification and Matching the fabric. This enables a user to perform a search based on the fabric on top e-shopping websites like Amazon and Flipkart if integrated

autoencoder cnn-keras deep-learning deep-neural-networks fabric fabric-detection siamese-network tsne

Last synced: 13 Apr 2025

https://github.com/lmriccardo/few-shot-graph-classification

Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022

data-augmentation deep-learning deep-neural-networks few-shot-classifcation few-shot-learning graph-classification graph-neural-networks maml-algorithm meta-learning python pytorch torch-geometric

Last synced: 13 May 2025

https://github.com/shubham3121/laymon

A Python based library used to visualise features maps of a neural network.

deep-neural-networks feature-extraction python pytorch

Last synced: 12 May 2025

https://github.com/samarjit98/cat-breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

clustering computer-vision convolutional-neural-networks deep-learning deep-neural-networks dendrogram python3 pytorch

Last synced: 06 May 2025

https://github.com/lukaszbinden/spatial-broadcast-decoder

Spatial Broadcast Decoder Tensorflow Implementation

deep-neural-networks representation-learning tensorflow

Last synced: 13 Mar 2025

https://github.com/devkihyun/neural-style-transfer-tensorflow-keras

Tensorflow(using keras pretrained model) implementation of 'Image Style Transfer Using Convolutional Neural Networks'

deep-neural-networks keras python style-transfer tensorflow

Last synced: 31 Dec 2024

https://github.com/bradflaugher/ai-harmony-book

The source text and LaTeX formatting for AI Harmony by Brad Flaugher

deep-neural-networks latex latex-document machine-learning

Last synced: 14 Feb 2025

https://github.com/wwwwwydev/pen-stroke-segmentation

基于深度学习中全卷积网络的字体笔划分割（汉字笔画分割）解决方案 A Solution for Font Stroke Segmentation (Stroke Segmentation) Based on Fully Convolutional Networks in Deep Learning

deep-learning deep-neural-networks pen-strokes python pytorch

Last synced: 28 Feb 2025

https://github.com/vpanjeta/style-transfer

A deep learning model using keras to transfer the style of a texture or a famous painter to a base image

cnn-keras deep-learning deep-neural-networks deeplearning jupyter-notebook style-transfer

Last synced: 12 Apr 2025

https://github.com/jabonsote/automatic-counting-of-epidermal-cells-with-deep-learning

Con este proyecto, se busca avanzar en el uso de modelos de Deep learning para la investigación en el campo de la botánica, ofreciendo una solución más eficaz y precisa para la medición de células epidérmicas.

biology cells classification deep-learning deep-neural-networks detectron2 epidermal plants python pytorch resnet-50 tensorflow2

Last synced: 12 Apr 2025

https://github.com/rwightman/tensorflow-speech_commands

Speech commands training/models from TF repo adapted for speech commands Kaggle

deep-neural-networks kaggle speech-recognition tensorflow

Last synced: 09 May 2025

https://github.com/touhi99/dl_dialogue_act_classification

DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model

classification cnn deep-learning deep-neural-networks dialogue dialogue-act embedding-models keras rnn

Last synced: 22 Apr 2025

https://github.com/praveen1664/deeplearning-architectures

This is one of the deep learning architecture, machine learning, CNN, RNN based on tensorflow, pytorch, tensorboard

celeba convolutional-neural-network deep deep-neural-networks ipynb pytorch tensorflow

Last synced: 13 Feb 2025

https://github.com/ahammadmejbah/becoming-a-python-developer

Becoming a Python developer involves mastering the Python programming language, understanding its syntax, and learning popular frameworks. Gain proficiency in web development, data analysis, or automation. Collaborate on projects, build a strong portfolio, and stay updated on industry trends to excel in this dynamic and versatile field.

algorithms algorithms-and-data-structures data-science deep deep-learning deep-neural-networks machine-learning machine-learning-algorithms machinelearning python python3

Last synced: 27 Apr 2025

https://github.com/rafaykhattak/captionify

With Captionify, users can upload an image or enter an image URL to generate a descriptive caption that accurately describes the contents of the image.

deep-neural-networks encoder-decoder-model gpt-2 transfer-learning transformer vision-transformer

Last synced: 12 Jan 2025

https://github.com/rafaykhattak/plagsnipe

By analyzing the linguistic complexity and repetitiveness of the text, PlagSnipe provides accurate insights into the authenticity and originality of written content, helping users identify potential instances of AI-generated text with precision and confidence.

deep-neural-networks gpt2 gpt2tokenizer nltk pytorch transformers

Last synced: 12 Jan 2025

https://github.com/jay-johnson/antinex-client

AntiNex python client for training and using pre-trained deep neural networks with JWT authentication

ai ai-security anti-nex artificial-intelligence deep-neural-networks jwt keras python rest-client tensorflow

Last synced: 09 Feb 2025

https://github.com/rafaykhattak/textifyimage

Harnessing the power of OpenAI's DALL-E model and huggingface's Stable diffusion model, effortlessly transform text into stunning visuals that bring your words to life.

dall-e deep-neural-networks huggingface openai stable-diffusion

Last synced: 12 Jan 2025

https://github.com/ondrejbiza/aamas_19

Source code for the paper "Online Abstraction with MDP Homomorphisms for Deep Learning".

aamas abstraction deep-learning deep-neural-networks reinforcement-learning reinforcement-learning-algorithms

Last synced: 26 Apr 2025

https://github.com/lucasb-eyer/backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

backpropagation backpropagation-learning-algorithm deep-learning deep-neural-networks exercise-solutions julia julia-language

Last synced: 13 Apr 2025

https://github.com/shoyamanishi/mlnotes

Some notes worth sharing that I made through my self-study on machine learning.

deep-neural-networks machine-learning self-study

Last synced: 31 Mar 2025

https://github.com/ardawanism/convmixer-patches-are-all-you-need

In this repository, a very informative and comprehensive implementation of ConvMixer architecture is provided for educational purposes using PyTorch.

cnns computer-vision convmixer convolutional-neural-networks deep-learning deep-neural-networks machinevision

Last synced: 30 Apr 2025

https://github.com/raoumer/isrrescnet

Code repo for "Deep Iterative Residual Convolutional Network for Single Image Super-Resolution" (ICPR 2020).

convex-optimization deep-neural-networks icpr iterative-methods super-resolution

Last synced: 19 Apr 2025

https://github.com/jdleesmiller/carnd-cloning

Train a driverless car to drive around a simulated race track using end-to-end deep learning — from camera images to steering commands. This is the code for my 'Zero to Driverless Race Car with Deep Learning' blog post and talk.

car convolutional-neural-networks deep-learning deep-neural-networks driverless inception ipython-notebook

Last synced: 23 Apr 2025

https://github.com/dansuh17/pytorch-land

[BETA] Easy-to-use pytorch model trainer, dataloader creators, and utilities + my own implementations of select models

cyclegan deep-learning deep-neural-networks gan generative-adversarial-network generative-model python3 pytorch wgan wgan-gp

Last synced: 13 Apr 2025

https://github.com/samarjit98/Cat-Breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

clustering computer-vision convolutional-neural-networks deep-learning deep-neural-networks dendrogram python3 pytorch

Last synced: 25 Nov 2024

https://github.com/bcgsc/terminitor

Deep Neural Network model that predicts polyadenylation sites

deep-neural-networks deeplearning polyadenylation

Last synced: 07 May 2025

https://github.com/deeplite/activ-sparse

Official PyTorch training code of Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity (ICCV2023-RCV)

deep-neural-networks efficient-deep-learning efficient-inference low-latency raspberry-pi sparsity tinyml

Last synced: 09 Apr 2025

https://github.com/sarthak-1408/indian-food-classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

classification-model deep-learning deep-neural-networks flask flask-application image-classification keras-neural-networks keras-tensorflow tensorflow

Last synced: 16 Jan 2025

https://github.com/liuruoze/betastar

(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

competition-code cplusplus deep-neural-networks machine-learning python scripted-agent starcraft starcraft-bot starcraft-broodwar supervised-learning

Last synced: 12 Apr 2025

https://github.com/vidhi1290/cyclegan-implementation-for-image-to-image-translation

🖼️ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! 🚀

artificial-intelligence cycle-gan deep-learning deep-neural-networks gan github-config machine-learning numpy pillow python pytorch torchvision unsupervised-learning

Last synced: 15 Apr 2025

https://github.com/rafaykhattak/neural-network-from-scratch

A simple neural network implementation from scratch using only NumPy for numerical computations.

deep-neural-networks image-classification neural-network numpy

Last synced: 12 Jan 2025

https://github.com/aianytime/fishvision

FishVision built using Streamlit identifies the different species of Fishes in a given image. It is trained on "A Large Scale Fish Data" available on Kaggle using the pre-trained model "MobileNetV2".

data-science deep-learning deep-neural-networks heroku heroku-deployment machine-learning machine-learning-algorithms mobilenetv2 python python3 streamlit streamlit-webapp

Last synced: 28 Dec 2024

https://github.com/kentaroy47/training-domain-specific-models

Framework for training efficient domain specific object detection models in Pytorch

deep-learning deep-neural-networks domain-specific-models faster-rcnn object-detection pytorch

Last synced: 27 Jan 2025

https://github.com/yannick-kees/learning-geometric-phase-field-representations

Implementation of two phase field approaches for the surface reconstruction problem. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli | Master Thesis

deep-learning deep-neural-networks fourier-features modica-mortola perimeter point-cloud rendering-3d-graphics surface-reconstruction

Last synced: 23 Nov 2024

https://github.com/kingabzpro/magnet-model-the-geomagnetic-field

In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.

deep-neural-networks forecasting-dst geomagnetic geomagnetic-storms nasa noaa satellites time-series

Last synced: 23 Apr 2025

https://github.com/sadmansakib93/medical_image_classification_keras

This is an example of medical image classification (binary classification) using Keras. Note that, the model is not fully optimized in this program, and hence it can be further optimized and the accuracy of the model can be enhanced further.

convolutional-neural-networks deep-learning deep-neural-networks image-classification keras keras-neural-networks machine-learning medical-image-analysis

Last synced: 01 Mar 2025

https://github.com/mohsenim/text2image-nn-classifier

Text analysis using text-to-image conversion and deep neural models trained for image processing

deep-neural-networks fastai fine-tuning image-classification resnet-18 text-classification text-to-image

Last synced: 31 Mar 2025

https://github.com/sovit-123/video-recognition-using-deep-learning

This project uses deep learning and the PyTorch framework to detect sports action categories in videos in real-time. The neural network is a simple custom neural network built with PyTorch.

action-recognition computer-vision computer-vision-opencv convolutional-neural-networks deep-learning deep-neural-networks deeplearning-video-recognition neural-network pytorch

Last synced: 11 Apr 2025

https://github.com/kahnvex/slugnet

An experimental deep learning library, dormant since 2017

deep-learning deep-neural-networks neural-networks numpy

Last synced: 03 Dec 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 20 Mar 2025

https://github.com/sergio11/online_payment_fraud

Fraud detection using Deep Neural Networks to predict fraudulent transactions in financial data. 🚨🤖 Complete process from EDA and data preprocessing to model training and evaluation. 📊🔍

classification data-preprocessing data-science deep-neural-networks dnn exploratory-data-analysis financial-fraud fraud-detection fraud-detection-model imbalanced-data keras machine-learning neural-network python smote tensorflow

Last synced: 06 May 2025

https://github.com/sajed-zarrinpour/solving-pde-with-uncertainty-surrogate-forward-model-keras

Implementing a surrogate forward modeling to solve partial differential equations with uncertain equations using NN - keras

deep-neural-networks neural-networks numerical-analysis numerical-methods partial-differential-equations

Last synced: 14 Dec 2024

https://github.com/prithvi45/conversational-chatbot

Chatbot built by using Deep Neural Networks and TensorFlow

deep-neural-networks python3 tensorflow

Last synced: 12 May 2025

https://github.com/thequantscientist/featureengineering-bilstm

[MDAI 2024] The official repo for the paper: "Transforming Stock Price Forecasting: Deep Learning Architectures and Strategic Feature Engineering".

deep-neural-networks feature-engineering machine-learning stock-price-prediction

Last synced: 18 Mar 2025

https://github.com/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.

cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models

Last synced: 02 Apr 2025

https://github.com/stefanolusardi/tiny_inference_engine

Client/Server system to perform distributed inference on high load systems.

ai cmake conan cpp deep-neural-networks docker grpc inference-client inference-engine inference-server kserve onnxruntime

Last synced: 23 Apr 2025

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 278 awesome-deep-trading 94 awesome-colab-notebooks 431 awesome-transformers-in-medical-imaging 202 Awesome-Speech-Enhancement 105 awesome-emdl 147 awesome-multi-task-learning 229 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 Awesome-Information-Bottleneck 201 awesome-gans-and-deepfakes 61 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 awesome-tensorial-neural-networks 99 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-graph-research-iclr2024 34 awesome-yolo 40 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-speech-emotion-recognition 119 CoreML-Guide 333 awesome-deepnote 41 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-neural-cad 103 Awesome-Cloud-Edge-AI 58 PyTorch-Guide 616 awesome-experimental-standards-deep-learning 34 awesome-approximate-dnn 78 Deep-Learning 38 TensorFlow-Guide 819 awesome-deep-learning-materials 69 awesome-data-science 93 awesome-optimizers 53 fucking-machine-learning-tutorials 356 awesome-ai 107
Deep neural networks Categories
Papers 942 Uncategorized 596 Classification COVID19 (Separate section due to its current significance) 594 Papers & Code 440 Introduction 418 Overview 380 DL4M summary 358 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 203 Research 202 Other useful related lists and resources 200 Architecture 129 Deep Learning 113 Paper: 104 C/C++ Learning Resources 102 Using AI for Pentesting 95 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86