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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/fork123aniket/text-generation

Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow

deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

https://github.com/arkaung/dropout_bayesian_nn

Demonstration for using dropout as a means of bayesian approximation in Deep Neural Network

bayesian deep-neural-networks

Last synced: 18 Jan 2025

https://github.com/philipperemy/neural-probability-dist-sampler

Training a network to sample from any probability distributions such as exponential distribution.

deep-learning deep-neural-networks probability-distribution sampler statistics tensorflow

Last synced: 16 Dec 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: 13 Oct 2024

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/aniike-t/style-transfer

Project to utilise the capabilities of Pre trained models

deep-learning deep-neural-networks image-processing machine-learning

Last synced: 10 Nov 2024

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/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: 23 Dec 2024

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/tallamjr/dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

deep-learning deep-neural-networks keras tensorflow tensorflow-examples tensorflow2

Last synced: 09 Feb 2025

https://github.com/mkashirin/scratches

Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python

Last synced: 06 Nov 2024

https://github.com/furk4neg3/inception_v1-googlenet

Replication of Going Deeper with Convolutions paper using TensorFlow, with one example of how to use it. This model is mainly used for image classification problems.

artificial-intelligence computer-vision deep-learning deep-neural-networks image-classification machine-learning tensorflow

Last synced: 13 Jan 2025

https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder

Last synced: 06 Nov 2024

https://github.com/coding-enthusiast9857/automatic_text_generation

Welcome to the repository, where innovation meets language! This repository is a comprehensive collection of tools, models, and resources dedicated to the exciting field of automatic text generation. Whether you're a researcher, developer, or enthusiast, this repository provides a playground for exploring cutting-edge technology.

ai ann cnn deep-learning deep-neural-networks gru keras lstm ml neural-networks nlp numpy python rnn tensorflow tensorflow2 text-processing

Last synced: 14 Jan 2025

https://github.com/camara94/reseau-neurone-tensorflow-2

TensorFlow est une bibliothèque open source de Machine Learning, créée par Google, permettant de développer et d’exécuter des applications de Machine Learning et de Deep Learning

algorithms-and-data-structures deep-learning deep-neural-networks machine-learning python3 tensorflow2

Last synced: 23 Dec 2024

https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow

Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.

cnn cnn-classification cnn-keras computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python

Last synced: 25 Dec 2024

https://github.com/shaheennabi/deep-learning-practices-and-mini-projects

Welcome to Deep Learning & Math with Python! 🚀💥 Here, we blend code and theory to build deep learning algorithms from scratch and explore the math behind them. 🧠⚡ Whether you're just starting or a seasoned pro, this space is all about learning, experimenting, and creating AI magic together! 🔥🎆 Let's code, learn, and innovate!

activation-functions backpropagation calculus deep-learning deep-neural-networks linear-algebra maths-behind-neural-network opencv pytorch tensorflow

Last synced: 14 Jan 2025

https://github.com/ranpy13/portrait-blur-bokeh

Attempt to recreate the DSLR like portrait bokeh blur effect on any normal image using deep learning, resnet and unet.

bokeh deep-neural-networks opencv resnet unet-image-segmentation

Last synced: 11 Nov 2024

https://github.com/raulmurillo/annsim_22

Code for reproducing ANNSIM 2022 results

deep-neural-networks floating-point physics-simulation posit simulation

Last synced: 10 Feb 2025

https://github.com/zenitsu0509/projects

This Repo contains my projects that I have worked on so far.

deep-neural-networks machine-learning

Last synced: 22 Jan 2025

https://github.com/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

data-generation deep-learning deep-neural-networks gan

Last synced: 28 Jan 2025

https://github.com/sreeeswaran/nst-for-artistic-image-creation

This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning models, particularly Convolutional Neural Networks (CNNs), to extract and combine the content and style features of images.

artificial-intelligence artificial-neural-networks cnn cnn-model convolutional-neural-networks deep-learning deep-neural-networks image-generation machine-learning models neural-networks neural-style-transfer nst

Last synced: 22 Jan 2025

https://github.com/harshjuly12/deep-learning-approaches-for-enhanced-breast-cancer-detection

A deep learning project aimed at early detection of breast cancer by classifying tumors as benign or malignant based on features extracted from cell images. The project demonstrates data preprocessing, model training, and evaluation using various deep learning algorithms to achieve high accuracy in predictions.

aiml cnn deep-learning deep-neural-networks

Last synced: 12 Nov 2024

https://github.com/justanhduc/neuralnet

A high level framework for general purpose neural networks in Theano.

convolutional-neural-networks deep-learning deep-neural-networks neural-network python2 theano

Last synced: 22 Dec 2024

https://github.com/abidshafee/datascienceyoutubetutorials

This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube

cs cs-school data-science deep-learning deep-neural-networks machine-learning shafekul-abid video-tutorials youtube youtube-channel

Last synced: 15 Jan 2025

https://github.com/jmaces/torch-adf

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch

Last synced: 03 Feb 2025

https://github.com/ahammadmejbah/supplemental-materials-for-deep-learning-and-ai-specialization-course

The Deep Learning and AI Specialization course offered by aiQuest Intelligence provides a comprehensive program designed to teach cutting-edge artificial intelligence, neural networks, and deep learning techniques. This course is aimed at equipping you with the skills needed to tackle real-world AI challenges.

deep deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning deeplearning-ai

Last synced: 09 Jan 2025

https://github.com/papapana/face-generation

Face Generation using Generative Adversarial Networks (GANs)

deep-learning deep-neural-networks gan generative-adversarial-network pytorch

Last synced: 13 Jan 2025

https://github.com/masasron/deepnet

DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.

classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs

Last synced: 23 Jan 2025

https://github.com/anonym0uswork1221/jaraconverse-transformersbased

This JaraConverse model is a cutting-edge Transformer-based supervised Language Model (LLM) specifically designed for generating Python code snippets.

ai code-generator conversational-ai deep-neural-networks keras keras-nlp large-language-model llm machine-learning optimized python scratch tensoflow transformers transformers-models

Last synced: 09 Feb 2025

https://github.com/mishig25/adversarial-reprogramming-keras

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 07 Feb 2025

https://github.com/vidhi1290/image-inpainting

🎨 Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! 🖼️🔮 #ImageInpainting

artificial-intelligence artificial-neural-networks cifar10 computer-vision datascience datavisualization deep-learning deep-neural-networks humanfacedetection image-inpainting kaggle lfw-dataset machine-learning machine-learning-algorithms mnist-handwriting-recognition neural-networks python

Last synced: 02 Feb 2025

https://github.com/harshal306/chest_xray_disease_detection

Helps in predicting the Pneumonia by the convolutional neural network over the images of chest x rays.

cnn-classification deep-neural-networks python tensorflow-models

Last synced: 12 Jan 2025

https://github.com/kawai-senpai/heartly

Heartly is a Python application developed with Kivy, designed to evaluate the risk of heart disease based on user inputs. The application utilizes a neural network model to predict the likelihood of heart disease, providing a percentage risk based on a series of questions related to the user's health and lifestyle.

deep-learning deep-neural-networks heart-disease kivy kivy-framework kivymd pytorch

Last synced: 18 Dec 2024

https://github.com/andythefactory/fakenewsdataset

a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate

datasets deep-learning deep-neural-networks disinformation fake-news fake-news-analysis fake-news-articles fake-news-challenge fake-news-classification fake-news-dataset fake-news-detection misinformation

Last synced: 27 Dec 2024

https://github.com/efecanxrd/lstm-derin-ogrenme-modeli-ile-enerji-tuketimi-tahmini

Derin modelleme için kullanılan paketler TensorFlow ve Keras'tır. Python ile Hollanda'nın ileride kullanabileceği tahmini! enerji tüketimini hesapladık.

deep-learning deep-learning-algorithms deep-neural-networks deeplearning keras plotly python tensorflow

Last synced: 15 Jan 2025

https://github.com/subhangisati/identification-of-gemstone-using-mobilenetv2-and-transfer-learning

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

artificial-intelligence classification computer-vision convolutional-neural-networks cv2-library data-science deep-learning deep-neural-networks keras-neural-networks keras-tensorflow machine-learning multiclass-image-classification numpy-library pandas-dataframe python scikit-learn seaborn-python tensorflow

Last synced: 01 Jan 2025

https://github.com/hsprcode/audio-signal-classification-using-convolutional-neural-networks

Extracted features and classified GTZAN Dataset via deep neural networks with reduced number of parameters and achieved a maximum of 81.62% classification accuracy using 1D-CNN.

audio-analysis audio-processing convolutional-neural-networks deep-neural-networks musicgenre python

Last synced: 10 Feb 2025

https://github.com/subhangisati/classification-of-venomous-and-non-venomous-snakes

This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2

binary-image-classification classification cnn-classification cnn-keras computer-vision convolutional-neural-network cv2 data-science deep-neural-networks keras-tensorflow matplotlib mobilenetv2 neural-network numpy-library pandas-dataframe tensorflow transfer-learning

Last synced: 01 Jan 2025

https://github.com/ahammadmejbah/supplemental-materials

Explore AI with resources like 📚 books, 🎧 podcasts, and 🖥️ online courses! Join forums 💬, attend workshops 🛠️, and read journals 📖 to boost your knowledge! 🚀✨🧠

computer-vision data-science data-science-projects data-visualization deep-learning deep-neural-networks machine machine-learning opencv python3

Last synced: 09 Jan 2025

https://github.com/gitstar-oc/machine-learning

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 13 Oct 2024

https://github.com/unipr-org/deep-neural-network

Deep Neural Network Library: A flexible C++ library for building, training, and using deep neural networks. Modular, easy-to-use, and high-performance.

artificial-intelligence artificial-neural-networks cpp deep-neural-networks machine-learning

Last synced: 06 Feb 2025

https://github.com/aravinda-1402/link-quality-prediction-for-lte-and-wifi-networks

This is study primarily deals with classifying the future link qualities using deep learning models such as Long Short-Term Memory networks (LSTM) and Bidirectional Long Short-Term Memory networks (BLSTM).

blstm deep-learning deep-neural-networks lstm wireless-sensor-networks

Last synced: 19 Jan 2025

https://github.com/duartegalvao/image-colorization-with-deep-learning

This is a project for the DD2424 - Deep Learning in Data Science course in KTH (Royal Institute of Technology).

deep-learning deep-neural-networks gan python python3 tensorflow tensorflow-models turing-test unet

Last synced: 19 Jan 2025

https://github.com/rakshit-shetty/pothole-detection

A pothole detection DL algorithm using Yolo v2 and Tensorflow

deep-neural-networks pothole-detection tensorflow yolov2

Last synced: 26 Jan 2025

https://github.com/aabduvak/object-detection-setup

The YOLOv8 Object Detection Setup allows users to perform real-time object detection using the YOLOv8 algorithm. The project is designed for simplicity and convenience, enabling users to run their models seamlessly and obtain output videos with detected objects.

computer-vision deep-neural-networks object-detection opencv yolov8

Last synced: 08 Jan 2025

https://github.com/geo-y20/standard-ocr-

Explore the Standard OCR Project: a deep learning-based character recognition system leveraging advanced computer vision techniques. Detect characters in images using ResNet, Xception, Inception, and MobileNet models. Train, evaluate, and contribute to this cutting-edge technology.

css deep-learning deep-neural-networks flask html javascript jupyter-notebook keras ocr-recognition ocr-text-reader python resnet tensorflow xception

Last synced: 08 Jan 2025

https://github.com/sque/mynn

Playground for Neural Networks

deep-neural-networks machine-learning python python3

Last synced: 20 Jan 2025

https://github.com/EliasVansteenkiste/plnt

A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

classification deep-neural-networks kaggle lasagne python pytorch satellite-imagery

Last synced: 07 Nov 2024

https://github.com/mohitmishra786/ml-and-dl

This repository gives beginners and newcomers in the field of AI and ML a chance to understand the inner workings of popular learning algorithms by presenting them with a simple way to analyze the implementation of ML and DL algorithms in pure python using only numpy as a backend for linear algebraic computations.

artificial-intelligence artificial-neural-networks basic coding deep-learning deep-neural-networks machine-learning machine-learning-algorithms machine-learning-practice machine-learning-projects ml ml-project mlops python python3 pytorch pytorch-implementation tensorflow

Last synced: 21 Nov 2024

https://github.com/frankchen121212/RHSNet

Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification

computational-biology deep-neural-networks motif-discovery

Last synced: 28 Nov 2024

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 CoreML-Guide 333 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 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) 503 Papers & Code 423 Introduction 369 DL4M summary 358 Overview 320 Tutorials 235 Neural Networks (NN) and Deep Neural Networks (DNN) 200 Other useful related lists and resources 200 Research 199 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Paper: 96 Tools for Robotics 94 Further Reading 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Using AI for Pentesting 84