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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/bcgsc/terminitor

Deep Neural Network model that predicts polyadenylation sites

deep-neural-networks deeplearning polyadenylation

Last synced: 09 Nov 2024

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/camara94/convolutional-neural-networks-tensorflow

In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.

computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks tensorflow

Last synced: 05 Nov 2024

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 Jan 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/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: 11 Nov 2024

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: 14 Oct 2024

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: 23 Dec 2024

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/starxsky/tacotron2-jp

Base on "tacotron2-jpanese" builded & change

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

Last synced: 12 Nov 2024

https://github.com/kyegomez/gated-slot-attention

An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch

ai attentions deep-neural-networks deeplearning machinelearnin ml pytorch tensorflow torch torchvision

Last synced: 17 Feb 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: 03 Nov 2024

https://github.com/jpedrou/brain-tumor-detection

This project uses deep learning with CNNs to detect brain tumors in MRI images, aiming for accurate tumor pattern identification.

classification deep-learning deep-neural-networks keras python tensorflow

Last synced: 13 Feb 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: 08 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: 27 Oct 2024

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: 06 Feb 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: 10 Nov 2024

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: 12 Jan 2025

https://github.com/saikiran6694/product_classification

This is my Final Year Major Project. The idea behind this project is to develop a deep learning model for sentimental analysis of the users emotion toward the product and provide insight to design which further helps in improvement of the product.

deep-learning deep-neural-networks jupyter-notebook python

Last synced: 10 Dec 2024

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/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: 10 Feb 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: 17 Nov 2024

https://github.com/vidhi1290/face-recognition-system-in-python-using-facenet

Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! 👩‍💻📸"

computer-vision data-visualization deep-learning deep-neural-networks face-detection friends-dataset haar-cascade-classifier image-classification image-recognition opencv pretrained-models python vggface video-processing

Last synced: 02 Feb 2025

https://github.com/ahammadmejbah/deep-learning-interview-questions

Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex tasks. It excels at tasks like image and speech recognition, natural language processing, and has revolutionized fields like computer vision and language understanding.

deep-learning deep-learning-algorithms deep-neural-networks deep-q-learning deep-q-network deep-reinforcement-learning deeplearning deeplearning-ai interview python python3

Last synced: 11 Nov 2024

https://github.com/vidhi1290/brain-tumor-detection

Brain Tumor Detection using CNN: Achieving 96% Accuracy with TensorFlow: Highlights the main focus of your project, which is brain tumor detection using a Convolutional Neural Network (CNN) implemented in TensorFlow. It also emphasizes the impressive achievement of reaching 96% accuracy, which showcases the effectiveness of your model.

artificial-intelligence artificial-neural-networks braintumorclassification braintumour convolutional-neural-networks data-science dataanalysis datavisualization deep-learning deep-neural-networks kaggle machine-learning machine-learning-algorithms python tensorflow

Last synced: 02 Feb 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: 10 Nov 2024

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

Chatbot built by using Deep Neural Networks and TensorFlow

deep-neural-networks python3 tensorflow

Last synced: 18 Nov 2024

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: 04 Jan 2025

https://github.com/equinor/sti

An investigation into the feasibility of using deep neural networks for local planning problems in well trajectory engineering.

data-science deep-neural-networks ml trajectory trajectory-optimization well wellbore

Last synced: 12 Nov 2024

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/lindronics/honours_project

University final year project: Deep neural networks for classification of multispectral images. Includes dissertation, research Jupyter Notebooks, and code for TensorFlow CNN models.

android android-application deep-learning deep-neural-networks flir flir-one flir-sdk image-classification keras multispectral multispectral-images tensorflow

Last synced: 04 Dec 2024

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: 06 Feb 2025

https://github.com/ayushverma135/whisper-hindi-asr-model-iit-bombay-internship

The Whisper Hindi ASR (Automatic Speech Recognition) model utilizes the KathBath dataset, a comprehensive collection of speech samples in Hindi. Trained on this dataset, Whisper employs advanced deep learning techniques to accurately transcribe spoken Hindi into text.

dataset deep-learning deep-neural-networks googlecollab machine-learning neural-networks python3 transcribing

Last synced: 21 Feb 2025

https://github.com/luluw8071/asl-alphabet-detection

American Sign Language Alphabet Detection in Real Time using OpenCV-Mediapipe with EfficientNetB0 in PyTorch

american-sign-language deep-neural-networks efficientnetb0 image-classification python pytorch sign-language-recognition streamlit

Last synced: 12 Nov 2024

https://github.com/ammahmoudi/introductiontomachinelearning

Introduction to Machine Learning, for B.Sc. Students, Industrial Engineering Department, Sharif University of Technology

deep-neural-networks ensemble-learning logistic-regression machine-learning ml supervised-learning unsupervised-learning

Last synced: 15 Jan 2025

https://github.com/ata-turhan/optimized-cnn-ta

It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.

algorithmic-trading deep-neural-networks financial-engineering financial-machine-learning technical-analysis

Last synced: 23 Dec 2024

https://github.com/camara94/convolutional-neural-networks

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

cnn-keras deep-neural-networks keras tensorflow

Last synced: 15 Feb 2025

https://github.com/shivamgupta92/signlang_action_recognition

This project utilizes action recognition and deep learning with OpenCV, MediaPipe, and Inception_ResNet for real-time sign language detection. This tool empowers users to interpret diverse sign gestures accurately, fostering inclusivity

cnn-keras deep-neural-networks keras nlp python3 resnet-50 tensorflow

Last synced: 11 Jan 2025

https://github.com/wesleylp/dissertation

Dissertation for the degree of M. Sc. in Electrical Engineering.

aedes aedes-aegypti computer-vision deep-learning deep-neural-networks object-detection

Last synced: 09 Feb 2025

https://github.com/ahammadmejbah/ibm-project-07-identify-stop-signs-with-transfer-learning

As part of the machine learning team for a corporation developing self-driving cars, you are working on a new stop sign detection technology. In order to determine if there is a stop sign when the car is on the road, your team proposes to capture snapshots every second, signaling the car to stop when there's a stop sign detected in the image.

algorithms data-science deep-learning deep-neural-networks project

Last synced: 11 Nov 2024

https://github.com/yzhuoning/stagewisesgd

Stagewise training accelerates convergence of testing error over sgd

deep-neural-networks generalization-error optimization sgd

Last synced: 05 Jan 2025

https://github.com/muntahashams/character-level-lstm-pytorch

In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!

artificial-intelligence character-encoding character-level-lstm deep-neural-networks generate-text lstm machine-learning-algorithms pytorch text-generation

Last synced: 13 Jan 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: 14 Jan 2025

https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch

Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images.

deep-learning deep-neural-networks python pytorch yolo

Last synced: 08 Nov 2024

https://github.com/ahammadmejbah/tensorflow-developers

Welcome to the TensorFlow 90-Day Guide, your comprehensive roadmap to mastering TensorFlow and Neural Networks in just three months! This guide is meticulously structured to take you from a beginner to an advanced practitioner, equipped with the knowledge and hands-on experience to build, train, and deploy sophisticated machine learning models.

data-science data-visualization deep-learning deep-neural-networks deep-reinforcement-learning tensorflow tensorflow-models tensorflow-tutorials

Last synced: 05 Feb 2025

https://github.com/rhazra-003/image_classifier

A MATLAB based model which uses transfer learning to train a deep network that can classify images of flowers into one of 12 species.

alexnet deep-learning deep-neural-networks matlab

Last synced: 25 Jan 2025

https://github.com/ue2020/divinenn

A deep-learning chess engine written in Rust, partially compliant with the UCI protocol. DivineNN uses the Monte Carlo Tree Search (MCTS) algorithm to enhance the neural network policy using the neural network's value output.

ai chess deep-learning deep-neural-networks machine-learning monte-carlo-tree-search search-algorithm

Last synced: 18 Feb 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 276 awesome-deep-trading 94 awesome-colab-notebooks 556 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 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 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-graph-research-iclr2024 34 awesome-speech-emotion-recognition 119 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-deepnote 41 awesome-ai-cybersecurity 153 CoreML-Guide 333 awesome-experimental-standards-deep-learning 34 Awesome-Computational-Structural-Biology 40 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 944 Uncategorized 551 Classification COVID19 (Separate section due to its current significance) 516 Papers & Code 427 Introduction 373 DL4M summary 358 Overview 328 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 201 Other useful related lists and resources 200 Research 199 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Paper: 98 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 86