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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/ynstf/moboot

Moboot is a chatbot developed in Moroccan Darija, Based on a collection of Moroccan phrases and responses, Moboot has been trained to engage in relatively short conversations with users.

api boot css darija-nlp deep-neural-networks flask html neural-network nlp

Last synced: 11 Jan 2025

https://github.com/gokulnpc/iris-detection

This project focuses on iris detection using deep learning techniques. The model architecture combines the power of ResNet152V2, a pre-trained convolutional neural network (CNN), with additional convolutional layers to accurately detect and localize iris regions in images.

convolutional-neural-networks deep-neural-networks iris-detection resnet

Last synced: 07 Dec 2024

https://github.com/nobuyuki83/dnn_classify

object classification using deep neural network

classification deep-learning deep-neural-networks neural-network

Last synced: 04 Jan 2025

https://github.com/wapiti08/machine_learning_practice

the collections to practice the wide range of different machine learning skills

deep-neural-networks machine-learning nlp-machine-learning security-automation sklearn

Last synced: 04 Jan 2025

https://github.com/vanditg/image_analytics_task_ai_australia

This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.

blurred-background bounding-boxes computer-vision deep-learning deep-neural-networks face-detection face-quality facial-expression-recognition haarcascade-frontalface

Last synced: 22 Dec 2024

https://github.com/gokulnpc/fashion-mnist-gan

This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.

deep-learning deep-neural-networks fashion-mnist generative-adversarial-network

Last synced: 07 Dec 2024

https://github.com/zjysteven/awesome-byte-llm

A curated list of papers and resources on byte-based large language models (LLMs) — models that operate directly on raw bytes.

awesome-list byte-llms deep-learning deep-neural-networks foundation-models large-language-models machine-learning multimodal-large-language-models research-paper tokenization-free transformers

Last synced: 20 Dec 2024

https://github.com/sreeeswaran/text-generation-using-t5

This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks neural-networks t5 t5-model text-generation text-generation-using-t5 text-to-text text-to-text-generation text-to-text-transfer-transformer text-to-text-transformer tranformers

Last synced: 22 Nov 2024

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 Nov 2024

https://github.com/toby-sanders-101/mydigits

Everything needed to create a AI bot that can read images

deep-neural-networks image-classification matplotlib numpy opencv pyautogui python

Last synced: 15 Jan 2025

https://github.com/leehanchung/deeplearning.ai

Coursera Deeplearning.ai Deep Learning Specialization

coursera deep-learning deep-neural-networks neural-networks tensorflow

Last synced: 08 Jan 2025

https://github.com/barbarpotato/sentiment-analysis-bangkit-capstone-project

This Project was from Bangkit Capstone Project, the goal from this repository, is to built the sentiment analysis to classified the sentence is it the positive or the negative sentiment about the specific event organizer review.

deep-learning deep-neural-networks h5 natural-language-processing sentiment-analysis tflite-models

Last synced: 11 Jan 2025

https://github.com/m-pektas/identitysimilarity

This repository can help researchers who want to use face recognition in their research.

deep-learning deep-neural-networks face-recognition identity-loss loss loss-functions pytorch

Last synced: 11 Jan 2025

https://github.com/sadmansakib93/petals-to-the-metal-flower-classification-kaggle

This notebook is the solution for Kaggle's Petals to the Metal - Flower Classification on TPU challenge: https://www.kaggle.com/c/tpu-getting-started

artificial-intelligence classification deep-learning deep-neural-networks densenet flower-classification kaggle kaggle-competition kaggle-petals keras keras-neural-networks notebook tpu-challenge transfer-learning

Last synced: 12 Jan 2025

https://github.com/amazon-science/contrastive_emc2

Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"

contrastive-learning deep-neural-networks machine-learning machine-learning-algorithms mcmc-sampling multi-modal multi-modal-learning

Last synced: 12 Jan 2025

https://github.com/faizantkhan/deep-learning

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

advanced-programming ai aiml beginner-friendly deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning keras-tensorflow machine-learning-algorithms machinelearning-python neural-networks open-source opencv python python-library tensorflow yolo

Last synced: 15 Jan 2025

https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model

This is a simple deep learning model to detect whether a person is happy or sad.

body-recognition convolutions deep-learning deep-neural-networks face-recognition-opencv

Last synced: 08 Jan 2025

https://github.com/darraghdog/fish

Kaggle - The Nature Conservancy :fish:

cnn deep-neural-networks kaggle-competition keras region-detection yolo2

Last synced: 20 Dec 2024

https://github.com/idwessough/autonomous-driving

Autonomous Driving behaviour for a 4 wheel drive robot vehicle using AI and ROS to drive autonomously in a scaled city

artificial-intelligence computer-vision deep-neural-networks object-recognition robot-framework robotics ros2

Last synced: 22 Nov 2024

https://github.com/wilhelmagren/pychess

Terminal User Interface for playing chess. Either against your friend or the Deep CNN limited look ahead agent.

ai autoencoder chess classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning pygame python-chess pytorch regression

Last synced: 15 Dec 2024

https://github.com/markus28/ml-library

Java Implementation of Machine-Learning Algorithms

classification clustering deep-learning deep-neural-networks kmeans machine-learning

Last synced: 26 Nov 2024

https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.

activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine

Last synced: 25 Dec 2024

https://github.com/arif-miad/introduction-to-open-cv

Computer vision is a field of study focused on enabling computers to interpret and understand the visual world. OpenCV provides a comprehensive set of tools and algorithms for various tasks in computer vision, including image and video processing, object detection and tracking, facial recognition, augmented reality, and mor

data-science deep-neural-networks

Last synced: 14 Jan 2025

https://github.com/kingabzpro/mrna-vaccine-degradation-prediction

The model that will predict the degradation rates at each base of an RNA molecule.

covid-19 data-science deep-neural-networks mrna-stability vaccine

Last synced: 17 Nov 2024

https://github.com/edwildson/facerecognition

Projeto de reconhecimento de face e sentimentos, feito com Django e ML

deep-neural-networks django face-detection face-recognition machine-learning opencv python

Last synced: 08 Jan 2025

https://github.com/iinjyi/hands-on-neural-networks

A series of hands-on notebooks for beginners in neural networks. [To be updated]

ai cnn computer-science deep-learning deep-neural-networks lstm maths neural-networks python pytorch rnn transfer-learning

Last synced: 30 Dec 2024

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: 08 Dec 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: 08 Dec 2024

https://github.com/lawmurray/gpu-course

Deep neural network and Adam optimizer in straight C and CUDA. Accompanies the course Foundations of GPU Computing (coming soon).

c course deep-learning deep-neural-networks deeplearning gpu gpu-computing machine-learning machinelearning tutorial

Last synced: 27 Nov 2024

https://github.com/ahammadmejbah/understanding-convolutional-layers

Convolutional layers are a type of neural network layer primarily used in deep learning models for processing data that has a grid-like topology, such as images.

deep-learning deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning

Last synced: 09 Jan 2025

https://github.com/pathak-ashutosh/liver-segmentation

Segment liver using unet architecture. This was a project I did for a senior anonymously as his final year project during my undergrad.

biomedical-image-processing computer-vision deep-learning deep-neural-networks machine-learning neural-network segmentation unet-image-segmentation

Last synced: 02 Jan 2025

https://github.com/redayzarra/cnn_trafficsigns

This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection

Last synced: 27 Nov 2024

https://github.com/iwas-coder/guanaco

A simple, uncomplicated, multilayered Neural Network framework written in pure C.

ai ai-models c deep-learning deep-neural-networks header-only neural-network stb

Last synced: 28 Nov 2024

https://github.com/bilalhameed248/nlp-fake-news-classification

Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)

artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier

Last synced: 16 Jan 2025

https://github.com/shivamgupta92/sih1477_project_smartindiahackathon

Deploying human soldiers in hazardous environments comes with significant risks, including injuries, fatalities, and potential loss of critical military intelligence due to human errors.

deep-neural-networks figma fusion-360 html-css-javascript lidar raspberry-pi

Last synced: 11 Jan 2025

https://github.com/wielkadraka/lunar-landing-q-learing

AI playing Lunar Landing from python gymnasium library

deep-neural-networks deep-q-learning lunar-lander python3

Last synced: 11 Jan 2025

https://github.com/rizerkrof/library-simpleneuralnetwork

This is a simple fully connected neural network library for deep learning. Include example.

deep-learning deep-neural-networks library

Last synced: 29 Nov 2024

https://github.com/mohammad95labbaf/lung-segmentation

The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.

chest-xray-images chest-xrays cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks deeplearning depthwise-separable-convolutions depthwiseseparableconvolution lung-disease lung-segmentation segment segmentation x-ray-images

Last synced: 13 Jan 2025

https://github.com/gyselle-marques/neural-network-mnist

Implementação em Python de uma rede neural de Deep Learning para reconhecimento de dígitos.

deep-learning deep-neural-networks machine-learning neural-network portuguese-brazilian python

Last synced: 13 Jan 2025

https://github.com/ahmad-ali-rafique/yolo-helmet-detection-app

This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.

artificial-intelligence datascience deep-neural-networks helmet-detection image-processing machine-learning modeling opencv streamlit-dashboard yolov3

Last synced: 16 Jan 2025

https://github.com/sanchariii/cifar-10-object-recognition-using-resnet50

CIFAR-10 dataset has 60,000 32x32 rgb images and those images are recognized using ResNet50 deep learning model with an accuracy of 71%.

colab-notebook deep-neural-networks neural-networks resnet-50

Last synced: 12 Jan 2025

https://github.com/apozzi/convnetjs-extras

Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.

activation-functions convnetjs deep-learning deep-neural-networks loss-functions

Last synced: 29 Nov 2024

https://github.com/kaocc/nerf_2d

Experiments of 2D NeRF (Neural Radiance Fields)

deep-neural-networks nerf

Last synced: 14 Jan 2025

https://github.com/anibalalpizar/python-deep-learning-temperature-converter

Celsius to Fahrenheit converter using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction

Meters to price predictions using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/yannick-kees/mlp

Build MLP from scratch only using Numpy. Able to perform simple supervised learning problems in any dimension and with variable layer configurations. It can also be used for Auto-Encoder problems.

autoencoder deep-learning deep-neural-networks mlp numpy-tutorial

Last synced: 23 Nov 2024

https://github.com/omerbsezer/basicrnn

The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)

deep-learning deep-neural-networks rnn tutorial-code

Last synced: 11 Nov 2024

https://github.com/lugq1990/neural-nets

Build deep learning models more efficient based on TensorFlow.

deep-learning deep-neural-networks machine-learning tensorflow

Last synced: 08 Jan 2025

https://github.com/sadmansakib93/arctic-mammal-classification

Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.

annotations audio-analysis audio-classification classification deep-learning deep-neural-networks machine-learning python spectrogram tensorflow

Last synced: 12 Jan 2025

https://github.com/amdjadouxx/chifoumiai

A model which take an image of a hand making a sign (paper, scissor, rock) and detect which sign it is, improvement to come

artificial-neural-networks cnn-classification deep-neural-networks ia python3 tensorflow-tutorials

Last synced: 10 Oct 2024

https://github.com/aman-17/deep-learning-practise

Practicing deep learning also involves being familiar with the libraries and frameworks like Tensorflow, Pytorch, Theano, etc. that are commonly used to train and deploy deep learning models, as well as staying up to date with the latest research and advancements in the field.

deep-learning deep-neural-networks python pytorch tensorflow

Last synced: 25 Nov 2024

https://github.com/ammahmoudi/fluxomic-prediction

Applying implicit deep learning and convex optimization layers to infer metabolic fluxes from gene expression data

bioinformatics deep-neural-networks fluxomics ml optimization transcriptomics

Last synced: 15 Jan 2025

https://github.com/ammahmoudi/covid-19-autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml

Last synced: 15 Jan 2025

https://github.com/grascya/forecasting-electricity-by-hour-rnn-vs-lstm

Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them

deep-neural-networks electricity keras lstm-neural-networks rnn-model tensorflow2

Last synced: 10 Oct 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 554 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-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 awesome-ai-cybersecurity 153 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 946 Uncategorized 553 Classification COVID19 (Separate section due to its current significance) 480 Papers & Code 419 Introduction 361 DL4M summary 358 Overview 304 Tutorials 240 Other useful related lists and resources 201 Neural Networks (NN) and Deep Neural Networks (DNN) 200 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Paper: 94 Tools for Robotics 94 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 C/C++ Tools and Frameworks 80