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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.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2025-01-10 00:07:09 UTC
- JSON Representation
https://github.com/tanyachutani/neural-network-numpy
Neural Network (Multiple layers) from scratch using Numpy.
deep-neural-networks mnist neural-network neural-network-from-scratch numpy
Last synced: 10 Jan 2025
https://github.com/abhisaphire/style-transfer-dnn
Apply Style of one image onto another image using VGG19 Deep Neural Network in PyTorch
abhisaphire cnn colab-notebook deep-neural-networks dnn pytorch pytorch-implementation research-paper research-paper-implementation style-transfer style-transfer-algorithms vgg19
Last synced: 10 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: 27 Nov 2024
https://github.com/vyomshm/image-classification-project
A convolution neural net to classify images from the CIFAR-10 dataset consisting of 60,000 images
convolutional-neural-networks deep-learning deep-neural-networks image-classification machine-learning
Last synced: 29 Nov 2024
https://github.com/marcogdepinto/dogs-vs-cats
Deep learning to classify if a picture contains a Dog or a Cat using Python, OpenCV, Keras.
deep-learning deep-learning-tutorial deep-neural-networks image-classification keras numpy opencv python python3
Last synced: 06 Jan 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/louis030195/xmoto-gym
OpenAi's gym environment for Xmoto game - reinforcement learning research
artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning
Last synced: 25 Dec 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/lamsut/adversarial-robustness-of-cnn
Research on adversarial machine learning
adversarial-attacks adversarial-training cifar-10 deep-neural-networks
Last synced: 07 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: 27 Dec 2024
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/harshuljain13/cs231n-deeplearning
stanford's cs231n course
cs231n deep-learning deep-neural-networks stanford
Last synced: 30 Dec 2024
https://github.com/e0xextazy/gender-est
Gender prediction using mobilenet_V2 finetuned on datasets of celebrities, lamoda, wildberries photos.
deep-learning deep-neural-networks gender-classification gender-classifier gender-detection gender-recognition lamoda mobilenet mobilenet-v2 mobilenetv2 mobilenetv2-ssdlite pytorch torch torchvision wildberries
Last synced: 25 Nov 2024
https://github.com/thecoderpinar/hms-brainactivity-analysiss
Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.
critical-care data-analysis data-science data-visualization deep-neural-networks eeg eeg-signals exploratory-data-analysis healthcare medical-research neuroscience signal-processing
Last synced: 16 Dec 2024
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/vtuanpham/srgan_reimplementation_modified
Re-Implementation of SRGAN with symmetric padding for a better merged final image (Anysized input with 4x upscaled)
deep-learning deep-neural-networks fft gan generative-adversarial-network image image-processing kivy kivy-application kivy-framework machine-learning srgan srgan-keras super-resolution upscaling
Last synced: 25 Sep 2024
https://github.com/dilumdesilva/daugmentor
DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation
data-generation deep-learning deep-neural-networks gan
Last synced: 30 Nov 2024
https://github.com/abhineet123/deep_mdp
Deep MDP: A Modular Framework for Multi-Object Tracking
deep-learning deep-neural-networks markov-decision-processes multi-object-tracking object-tracker object-tracking siamese-network siamese-neural-network siamese-tracker tracking
Last synced: 21 Nov 2024
https://github.com/hritik5102/chatbot-with-deep-learning
Deep learning chatbot
chatbot deep-neural-networks intents nltk python softmax tensorflow tflearn
Last synced: 12 Dec 2024
https://github.com/joshua-dias-barreto/cifar10-using-cnns
A Convolutional Neural Network ( CNN ) is designed and trained to identify whether an image is an airplane, car, bird, cat, deer, dog, frog, horse, ship or a truck
cifar10 cnn-keras colab-notebooks deep-neural-networks machine-learning tensorflow visualization
Last synced: 12 Nov 2024
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: 14 Nov 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 Nov 2024
https://github.com/marx-wrld/mnist-character-recognition
Digital classification and Character Recognition using Tensorflow and the MNIST dataset
deep-neural-networks mnist-dataset tensorflow
Last synced: 13 Nov 2024
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: 18 Nov 2024
https://github.com/shashi456/deep-learning-research
Summaries of papers on Deep Learning, Natural Language Processing, Computer vision
artificial-intelligence computer-vision deep-learning deep-neural-networks hacktoberfest language-modeling machine-learning natural-language-processing neural-networks nlp research text-summarization
Last synced: 10 Dec 2024
https://github.com/neelsoumya/butterfly_detector
Basic tutorials and code for teaching deep learning and machine learning
data-science deep deep-learning deep-learning-tutorial deep-neural-networks ethical-artificial-intelligence learning machine-learning neural-networks open open-data-science outreach outreach-activities public-outreach statistical-learning teaching teaching-materials teaching-resources tutorial tutorials
Last synced: 08 Jan 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 Nov 2024
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 Nov 2024
https://github.com/pavansomisetty21/diabetes-prediction-using-dnnclassifier
we predict diabetes using DNNClassifier
architecture classification classification-algorithm classifier deep-learning deep-neural-networks diabetes diabetes-prediction diabetics dnnclassifier prediction
Last synced: 09 Jan 2025
https://github.com/justsecret123/one-piece-image-classifier
A quick image classifier trained with manually selected One Piece images.
batch-normalization classification classification-model computer-vision convolutional-neural-networks data-augmentation deep-learning deep-neural-networks docker early-stopping image-classification image-classifier jupyterlab keras machine-learning notebook python tensorflow tensorflow-serving transfer-learning
Last synced: 23 Dec 2024
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/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/vyomshm/sentiment-rnn
Sentiment analysis using a recurrent neural network
deep-neural-networks recurrent-neural-networks rnn-tensorflow sentiment-analysis tensorflow
Last synced: 29 Nov 2024
https://github.com/linggarm/movie-genre-classification-based-on-synopsis-using-deep-neural-network-and-tf-idf-vectorizer
Movie Genre Classification based on Synopsis using Deep Neural Network and TF-IDF Vectorizer
deep-learning deep-neural-networks machine-learning movie-genre-classification multinomial-naive-bayes nlp python supervised-learning svm text-classification tf-idf
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/pegah-ardehkhani/deep-neural-network-from-scratch
"Deep Neural Network" from Scratch
data-science deep-learning deep-neural-networks from-scratch from-scratch-in-python hidden-layers machine-learning neural-network python
Last synced: 07 Jan 2025
https://github.com/pasaopasen/pasaopasen.github.io
My resume, моё основное резюме
ansible bash code-acceleration compose cython data-science deep-neural-networks docker evolutionary-computation jenkins linux machine-learning mathematics python resume telegram winforms
Last synced: 28 Nov 2024
https://github.com/yoyolicoris/dl_hw1
back propogation
backpropagation classification deep-learning deep-neural-networks regression visualization
Last synced: 15 Dec 2024
https://github.com/yoyolicoris/building-nn-with-numpy
numpy lenet implementation.
convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy
Last synced: 15 Dec 2024
https://github.com/ahmedshahriar/time-series-projects
Collection of my Time series Analysis Projects
deep-learning deep-neural-networks keras lstm pandas python scikit-learn tensorflow time-series time-series-analysis time-series-classification time-series-forecasting time-series-prediction time-series-regression timeseries
Last synced: 16 Nov 2024
https://github.com/ahammadnafiz/fiztorch
Toy Implementation of PyTorch
algorithms deep-learning deep-neural-networks framework implementation neural-network python python-3 pytorch pytorch-tutorial tensorflow2 torch tutorial
Last synced: 22 Dec 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
https://github.com/pegah-ardehkhani/corona-virus-tweets-sentiment-analysis-and-prediction
Analysis and Prediction of the Corona Virus tweets Sentiment Using Deep Learning Models and Plotly Library
coronavirus covid-19 data-science deep-learning deep-neural-networks lstm machine-learning plotly prediction python sentiment-analysis sentiment-classification tensorflow text text-analysis text-classification tweet tweet-analysis tweets
Last synced: 07 Jan 2025
https://github.com/qengineering/squeezenet-ncnn
SqueezeNet for ncnn framework
cpp deep-neural-networks ncnn ncnn-framework ncnn-squeezenet raspberry raspberry-pi raspberry-pi-3 raspberry-pi-4 squeezenet
Last synced: 27 Nov 2024
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: 01 Jan 2025
https://github.com/easonlai/tensorflow_minions_spongebob_classification
Tensorflow Minions Spongebob Classification
classification cnn cnn-classification cnn-keras cnn-model deep-learning deep-learning-tutorial deep-neural-networks image-classification machine-learning machinelearning neural-network tensorflow tensorflowserveing tf2 tfserving
Last synced: 08 Jan 2025
https://github.com/midusi/freestyle_generator
Generador de freestyle basado en batallas de RAP
deep-learning deep-neural-networks freestyle nlp text-generation text-generation-using-rnn
Last synced: 20 Nov 2024
https://github.com/MartinKondor/positron
Blazingly fast deep learning library for Python.
ai algorithms artificial-intelligence deep-learning deep-neural-networks machinelearning math mathematics neural-network neural-networks
Last synced: 02 Nov 2024
https://github.com/narasimha1997/sento---online-sentiment-analysis-tool
Sento is a free online sentiment analysis tool .
deep-learning deep-neural-networks javascript natural-language-processing reactjs tensorflow-js webapp webpack
Last synced: 27 Dec 2024
https://github.com/amazon-science/mada_optimizer_search
Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"
adam-optimizer deep-neural-networks gpt-2 large-language-models machine-learning machine-learning-algorithms meta-optimizer optimization optimization-algorithms
Last synced: 12 Nov 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: 13 Dec 2024
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/yoyololicon/dl_hw1
back propogation
backpropagation classification deep-learning deep-neural-networks regression visualization
Last synced: 06 Oct 2024
https://github.com/ashwinpn/reinforcement-learning
Research and implementations of Deep Learning / Reinforcement Learning agents and their implementations / applications
deep-learning deep-learning-framework deep-neural-networks deep-reinforcement-learning machine-learning machine-learning-algorithms machinelearning reinforcement reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-environments rl
Last synced: 15 Nov 2024
https://github.com/karanchawla/deeplearningspecialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera
coursera deep-learning deep-neural-networks machine-learning neural-networks
Last synced: 28 Nov 2024
https://github.com/librauee/squirtle
To get the material of squirtle, which is one of the most famous emoticon. 通过机器学习的方法获取全网最全的杰尼龟表情包素材!
deep-neural-networks emoticon machine-learning
Last synced: 02 Jan 2025
https://github.com/yoyololicon/building-nn-with-numpy
numpy lenet implementation.
convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy
Last synced: 06 Oct 2024
https://github.com/justsecret123/twitter-sentiment-analysis
A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
classification data-analysis data-science deep-learning deep-neural-networks docker glove-embeddings kaggle lstm lstm-neural-networks machine-learning natural-language-processing nlp python rnn scikit-learn sentiment-analysis sentiment-classification tensorflow word-embeddings
Last synced: 05 Nov 2024
https://github.com/sevmardi/generative-adversarial-networks
Personal Experiments in different sorts of GANs
deep-learning deep-neural-networks gans generative-adversarial-network ml python3
Last synced: 25 Dec 2024
https://github.com/guiferviz/happyml
Machine Learning Python library for academic purposes.
deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy
Last synced: 17 Dec 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/ali-el-badry/pothole-detection
A deep learning-based project for detecting potholes in road surfaces using computer vision. Utilizes YOLO models for accurate, real-time pothole detection from images and videos, with a custom dataset and data augmentation techniques. Ideal for applications in road maintenance, autonomous vehicles, and insurance assessments.
deep-learning deep-neural-networks object-detection pothole-detection potholes yolo
Last synced: 06 Dec 2024
https://github.com/michaelradu/tinytensor
TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.
ai deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning deeplearning deeplearning-ai machine-learning machine-learning-algorithms machine-learning-library machinelearning-python neural-network python python3
Last synced: 01 Dec 2024
https://github.com/keyurparalkar/cifar-10
ConvNet implementation for CIFAR-10 dataset using pytorch
convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch
Last synced: 30 Dec 2024
https://github.com/shivamgupta92/imageforgerydetection
Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.
deep-neural-networks densenet121 error-level-analysis forgery-detection jpeg-compression-technique
Last synced: 12 Nov 2024
https://github.com/asrs-lab/awesome-dl-security-and-privacy-papers
Awesome-DL-Security-and-Privacy-Papers
adversarial-attacks adversarial-examples adversarial-learning adversarial-machine-learning backdoor-attacks backdoor-defense backdoor-detection deep-learning deep-neural-network deep-neural-networks machine-learning-security ml-papers ml-security security-and-privacy security-paper supply-chain-security
Last synced: 25 Nov 2024
https://github.com/aitor-alvarez/conversational-graph-neural-network
Conversational graph neural network models
conversational-ai deep-neural-networks disinformation graph-neural-network nlp-machine-learning
Last synced: 25 Nov 2024
https://github.com/augus1999/akane
AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.
chemistry deep-neural-networks denovo-design graph-neural-networks machine-learning multitask-learning pytorch-implementation transformer
Last synced: 14 Nov 2024
https://github.com/priyankkalgaonkar/condensenext
An Ultra-Efficient Deep Neural Network for Embedded Systems
artificial-intelligence computer-vision condensenext deep-neural-networks machine-learning pytorch
Last synced: 09 Jan 2025
https://github.com/zsxoff/neural-orthodontic-cephalometry
Convolutional networks detection in cephalometry based on TensorFlow
convolutional-networks deep-learning deep-neural-networks head-profile radiological-images tensorflow
Last synced: 15 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/ondrejbiza/vae
Variational autoencoders implemented in Tensorflow.
deep-learning deep-neural-networks tensorflow variational-autoencoders vq-vae
Last synced: 08 Jan 2025
https://github.com/cloaky233/binary-classifier-cnn
A Convolutional Neural Network (CNN) implementation using PyTorch and TensorFlow/Keras to classify images of cats and dogs. This project includes training scripts, model architectures, and instructions for easy setup and usage.
binaryclassification deep-learning deep-neural-networks pytorch
Last synced: 19 Nov 2024
https://github.com/kanishknavale/slog
Master Thesis: Single Lable Object Grasping (SLOG)
deep-neural-networks dense-object-nets end-to-end-machine-learning image-correspondences keypoint-tracking keypointnet master-thesis object-generalization optimization-algorithms pytorch pytorch-lightning robotics-grasping self-supervised-learning
Last synced: 06 Jan 2025
https://github.com/kalthommusa/stop-signs-application
Develop a custom classifier with PyTorch and transfer learning techniques to recognize stop signs, and then deploy it as a web application using Code Engine on IBM cloud.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks image-classification image-recognition python pytorch resnet-18 stop-sign-detection transfer-learning
Last synced: 16 Nov 2024
https://github.com/rathore25/denoising-by-resnet
Use a ResNet to denoise the noisy images
cifar-10 deep-neural-networks denoising-network residual-networks resnet
Last synced: 20 Dec 2024
https://github.com/kalthommusa/face-mask-application
Develop a custom classifier with PyTorch and transfer learning techniques to recognize face masks, and then deploy it as a web application using Code Engine on IBM cloud.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks face-mask-classification image-classification image-recognition python pytorch resnet-18 transfer-learning
Last synced: 16 Nov 2024
https://github.com/reshalfahsi/neuralnetwork
Implementation of Artificial Neural Network Algorithm
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks gradient-descent machine-learning medical-image-processing medical-insurance-costs medmnist neural-network newton-method python
Last synced: 15 Nov 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/emaballarin/rddl
Rapid Deployment Deep Learning
anaconda-environment artificial-intelligence deep-learning deep-neural-networks infrastructure machine-learning python3 scaffold
Last synced: 27 Nov 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/clberube/gims
Command line interface for geospatial image segmentation
deep-neural-networks geospatial-analysis segmentation unet
Last synced: 19 Nov 2024
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/amanpriyanshu/the-unlearning-protocol
Choose which data to make your model forget (Unlearn!), but watch out - every deletion ripples!
ai artificial-intelligence artificial-neural-networks catastrophic-forgetting deep-learning deep-neural-networks deeplearning fairness fairness-ai fairness-ml gradient-ascent machine-learning neural-network neural-networks privacy privacy-enhancing-technologies privacy-protection privacy-tools unlearn unlearning
Last synced: 02 Dec 2024
https://github.com/ondrejbiza/tfset
Interactive Tensorflow training.
deep-learning deep-neural-networks machine-learning tensorflow tensorflow-experiments
Last synced: 21 Dec 2024
https://github.com/easonlai/tensorflow_covid-19_classification_by_chest_x-ray
Tensorflow COVID-19 Classification by Chest X-Ray
cnn cnn-classification cnn-model convolutional-neural-networks deep-learning deep-neural-networks deeplearning densenet healthcare keras keras-tensorflow machine-learning machinelearning medical medical-image-processing medical-imaging tensorflow tensorflow-examples tensorflow-tutorials tensorflow2
Last synced: 21 Dec 2024
https://github.com/ivanbgd/udacity-deep-learning-nd101
My solutions to the Udacity Deep Learning Nanodegree Foundation ND101 on-line course, with some examples in C, beside Python (https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101)
c deep-learning deep-neural-networks jupyter-notebook miniflow neural-networks python tensorflow udacity udacity-deep-learning udacity-nanodegree
Last synced: 08 Dec 2024
https://github.com/yididiyan/learning-tensorflow
Code for Learning TensorFlow, A guide to building deep learning systems
deep-learning deep-neural-networks tensorflow
Last synced: 28 Nov 2024
https://github.com/joelselvaraj/udacity-mlnd-capstone-handwritting-digit-recognition
Udacity - Machine Learning Engineer Nanodegree Project - A Deep Neural Network to recognise handwritten digits
capstone deep-neural-networks gpu handwritten-digits jupyter-notebook mnist-dataset python udacity-nanodegree
Last synced: 08 Dec 2024
https://github.com/aezata/fashion_mnist-keras-model
A simple Fashion_mnist Keras model that I coded.
deep-learning deep-neural-networks fashion-mnist keras keras-models keras-neural-networks
Last synced: 21 Dec 2024
https://github.com/travelxml/tensorflow-and-keras-sentiment-analysis-using-rnn
NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.
deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow
Last synced: 21 Dec 2024
https://github.com/ahmedshahriar/housing-price-prediction
Data science project on Housing Prices Dataset regression analysis
decision-tree-regression deep-neural-networks gradient-boosting house-price-prediction housing-prices keras knn-regression lasso-regression lgbmregressor matplotlib pandas randomforestregressor regression ridge-regression scikit-learn scipy tensorflow xgboost-regression
Last synced: 16 Nov 2024
https://github.com/ltfschoen/aind2-cnn
classification convolutional-neural-networks deep-neural-networks global-average-pooling image-augmentation image-recognition keras loss-functions mlp model-architecture multi-layer-architecture multi-layer-perceptron one-hot-encode optimiser tensorflow testing training validation
Last synced: 07 Dec 2024
https://github.com/kiritoind/neural-network-for-cat-image-classification
This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction
classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python
Last synced: 05 Jan 2025
https://github.com/mohamedezzeldeenhassanmohamed/deep-learning-projects-repository
Enjoy the major Deep Learning Projects !!!
cnn ctc deep-learning deep-neural-networks dl encoder-decoder fcnn gan lstm-neural-networks machine-learning ml openai-api python rnn
Last synced: 03 Dec 2024
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