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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: 2025-01-30 00:07:10 UTC
- JSON Representation
https://github.com/makism/mtggg
mtg good game
apache-spark data-engineering data-science deep-neural-networks python
Last synced: 20 Jan 2025
https://github.com/justdvnsh/research-summarizer
A research paper summariezer app
app deep-learning deep-neural-networks encoder-decoder gru lstm machine-learning machine-learning-algorithms research rnn rnn-tensorflow seq2seq summarizer webapp
Last synced: 14 Dec 2024
https://github.com/justanhduc/improved-wgan
A Theano implementation of Improved WGAN
deep-learning deep-neural-networks gan
Last synced: 02 Jan 2025
https://github.com/justdvnsh/dbot
My chatbot
chatbot dbot decoder deep-learning deep-neural-networks encoder encoder-decoder-model gru lstm machine-learning machine-learning-algorithms rnn rnn-tensorflow seq2seq
Last synced: 14 Dec 2024
https://github.com/vutrong826/yolov8-tumor-segmentation
Brain tumor segmentation using YOLO architecture for fast and accurate detection.
deep-learning deep-neural-networks python pytorch segmentation tensorflow tumor-segmentation yolo yolov8 you-only-look-once
Last synced: 23 Jan 2025
https://github.com/kanishknavale/training_don_a_novel_approach
Repository for research paper "Training Dense Object Nets: A Novel Approach"
computer-vision deep-neural-networks dense-object-nets image-correspondences image-dataset image-processing keypointnet pytorch pytorch-lightning synthetic-augmentation synthetic-dataset-generation
Last synced: 06 Jan 2025
https://github.com/aryanjain28/blog---r-cnn-fast-r-cnn-faster-r-cnn
Easy explanation on different object detection approaches like - R-CNN, Fast R-CNN, and Faster R-CNN.
blog blogs deep-learning deep-neural-networks deeplearning fast-r-cnn faster-rcnn machine-learning machine-learning-algorithms r-cnn
Last synced: 29 Jan 2025
https://github.com/aryanjain28/blog---logistic-regression
This blog is my attempt to explain logistic regression in the easiest way possible.
algorithms blog blogs deep-learning deep-neural-networks deeplearning logistic-regression logistic-regression-algorithm machine-learning machine-learning-algorithms
Last synced: 29 Jan 2025
https://github.com/akashash01/convolutional_neural_network
Is a deep neural network, most commonly applied to analyze visual images.
cnn-for-visual-recognition data-science deep-learning deep-neural-networks python
Last synced: 14 Dec 2024
https://github.com/mituskillologies/dl-dvvp-aug24
Deep Learning programs of training conducted at DVVP College of Engineering, Ahmednagar, August 2024
artificial-intelligence artificial-neural-networks computer-vision convolutional-neural-networks deep-learning deep-neural-networks encoder-decoder machine-learning natural-language-processing recurrent-neural-networks
Last synced: 13 Jan 2025
https://github.com/d-kleine/deep-learning
Udacity Deep Learning Nanodegree notes and project solutions
deep-learning deep-neural-networks
Last synced: 23 Jan 2025
https://github.com/wa-lead/virtual_screnning_using_cnns
Using Chemception to predict the activity of molecules against aid_686978. Taking this further to visualize kernels decision process through Grad-CAM.
deep-neural-networks drug python tensorflow
Last synced: 26 Jan 2025
https://github.com/shubhamahobia/ann-classification
The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.
aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning
Last synced: 27 Dec 2024
https://github.com/aryansinghiiit/imagedetection
A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception. Topics
convolutional-neural-networks deep-learning deep-neural-networks image-detection tensorflow
Last synced: 24 Jan 2025
https://github.com/ivanrj7j/super-cars-vs-suvs
This is a deep neural network that looks at an images of cars and then classify them as suv and supercars
cnn deep-learning deep-neural-networks image-classification machine-learning
Last synced: 22 Dec 2024
https://github.com/mohamedsebaie/gender-age-race_prediction_keras
Gender Age Race Prediction Keras with Multiple Heads to The Model.
computer-vision deep-learning deep-neural-networks keras keras-classification-models keras-neural-networks keras-tensorflow neural-network python
Last synced: 21 Jan 2025
https://github.com/qasimwani/dqn-openai
Using DQN (Deep Q Network) to develop a DRL (Deep Reinforcement Learning) agent to solve LunarLander environment in OpenAI gym.
deep-neural-networks dqn keras-tensorflow openai-gym reinforcement-learning
Last synced: 27 Dec 2024
https://github.com/ztrimus/digit-recognition-from-scratch-neural-network
Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.
deep-learning deep-neural-networks machine-learning neural-network python
Last synced: 22 Jan 2025
https://github.com/sreecharanv/generating-realistic-and-diverse-textual-movie-reviews-with-imdb-dataset-leveraging-deep-learning
This project uses GPT-2 to generate realistic movie reviews from the IMDb dataset. By preprocessing data and fine-tuning the model, we achieved human-like text quality. The model's reviews were evaluated for coherence and diversity, showcasing GPT-2's potential in automated text generation.
deep-learning deep-neural-networks gpt-2 large-language-models machine-learning movie-reviews natural-language-processing text-generation
Last synced: 29 Jan 2025
https://github.com/a-yush/keras-databases
Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .
computer-vision deep-neural-networks keras keras-implementations python3 supervised-machine-learning
Last synced: 26 Dec 2024
https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers
This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.
cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer
Last synced: 16 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/stevenrice99/wall-following-robot-navigation
Wall-Following Robot Navigation
ai artificial-intelligence batch-normalization classification deep-learning deep-neural-networks dropout dropout-layers machine-learning ml neural-network neural-networks pandas python python3 pytorch sklearn torch uc-irvine uc-irvine-dataset
Last synced: 16 Jan 2025
https://github.com/athari22/sentiment-analysis-web-app
In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker service. In addition, created a simple web app that will interact with the deployed model.
amazon amazon-web-services deep-learning deep-neural-networks machine-learning neural-network python pytorch sagemaker sentiment-analysis
Last synced: 30 Dec 2024
https://github.com/stevenrice99/facial-expression-recognition
Kaggle Challenges in Representation Learning: Facial Expression Recognition Challenge
ai artificial-intelligence classification convolutional-neural-networks deep-learning deep-neural-networks face-recognition facial-recognition kaggle machine-learning ml neural-network neural-networks python python3 pytorch resnet resnet-18 torch torchvision
Last synced: 16 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/srineogi/deals-prediction-python
Binary Classification problem (Won = 1, Lost=0)
binaryclassification classification deals decision-tree-classifier deep-learning deep-neural-networks knn-classifier machine-learning python random-forest-classifier sckiit-learn svm-classifier tensorflow
Last synced: 30 Dec 2024
https://github.com/sathvik902/master-chef
A Deep Learning model which predicts the Indian Recipe from the ingredients we have in our home.
Last synced: 25 Jan 2025
https://github.com/redtius/talkpole
🤖🔍 An AI Model that determines sentence sentiment polarity.
cnn-model convolutional-neural-networks deep-learning deep-neural-networks flask keras long-short-term-memory-models nlp python sentiment-analysis sentiment-classification sentiment-polarity tensorflow
Last synced: 10 Oct 2024
https://github.com/blacksujit/sentiment-analysis
This project is a sentiment analysis model built to classify IMDB movie reviews as either positive or negative using the **IMDB dataset**. It uses various machine learning models and deep learning techniques to handle the text data.
challenge deep-learning deep-neural-networks lstm-neural-networks model-accuracy nlp nlp-datasets nlp-machine-learning polarity-integration proficient rqs score sentiment-analysis sentiment-classification
Last synced: 29 Jan 2025
https://github.com/kmohamedalie/dtm-machine_learning_final_project
Machine learning final project
cifar-10 classification cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks hog-features image-classification keras-tensorflow machine-learning svm
Last synced: 02 Jan 2025
https://github.com/jpleorx/tf-cifar10
Deep Convolutional Neural Network for CIFAR10 problem. Achieved 91.49% accuracy.
artificial-intelligence cifar10 convolutional-neural-network convolutional-neural-networks deep-convolutional-neural-networks deep-learning deep-neural-networks keras machine-learning neural-network neural-networks python tensorflow
Last synced: 25 Jan 2025
https://github.com/aaleksandraristic/innovative-skin-cancer-screening-iscs-utilizing-cnn-models
The goal of this project is to employ deep learning models and advanced techniques to identify abnormalities by analyzing images of the skin tissues.
cnn-classification cnn-keras cnn-model convolutional-neural-networks deep-neural-networks densenet googlenet-inception-network image-classification image-processing python resnet
Last synced: 16 Jan 2025
https://github.com/avidlearnerinprogress/improvingdeepneuralnetworks
Programming assignments of the course
andrew-ng deep-learning deep-neural-networks jupyter-notebook python
Last synced: 14 Jan 2025
https://github.com/wambugu71/tree-couting-deepforest-drone_imagery
Counting the number of trees in an area, muringato area.
data-science deep-learning deep-neural-networks ecology image-recognition machine-learning object-detection python
Last synced: 23 Jan 2025
https://github.com/zsxoff/deep-learning-brain-segmentation
Brain segmentation for the 2D images using convolutional neural network
brain convolutional-networks convolutional-neural-networks deep-learning deep-neural-networks segmentation tensorflow
Last synced: 16 Jan 2025
https://github.com/amine-akrout/face_recognition
Face Recognition and Identification using python, openCV and deep learning
deep-neural-networks face-detection face-recognition opencv python
Last synced: 29 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
https://github.com/lovi-0/flippy-bird
Flappy Bird Game with AI
deep-neural-networks flappy-bird game neat-algorithm neat-python python
Last synced: 26 Jan 2025
https://github.com/dhrupad17/understanding-deep-learning-through-projects
This repository encapsulates a hands-on approach to mastering the intricate concepts of deep learning. Through practical engagement with real-world projects, learners immerse themselves in the nuances of neural networks, optimization techniques, and model architectures. This methodology fosters a profound comprehensio
artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks lstm-neural-networks project-repository recurrent-neural-networks
Last synced: 16 Jan 2025
https://github.com/athari22/tv-script-generation
In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.
deep-learning deep-neural-networks machine-learning neural-network python pytorch rnn rnn-encoder-decoder rnn-model rnn-pytorch
Last synced: 30 Dec 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/arpan132002/fitness-tracker-using-smart-watches
This repository contains the code for a full machine learning project that tracks fitness activities. The project demonstrates the process of building a fitness tracker using Python and machine learning techniques
deep-neural-networks machine-learning outlier-detection
Last synced: 30 Jan 2025
https://github.com/hackintoshrao/tensorflow-income-bracket
Predicting whether the income > 50K based on the information about the individuals.
classification deep-learning deep-neural-networks tensorflow
Last synced: 12 Jan 2025
https://github.com/mawadamhd/deep-learning-with-keras-and-tensorflow-course
This repository Course materials for Deep Learning with Keras and TensorFlow course. This repository includes Jupyter notebooks, datasets, assignments, and solutions .
deep-learning deep-neural-networks keras keras-tensorflow tensorflow
Last synced: 07 Dec 2024
https://github.com/gauravcodepro/expression-neural-network
a deep neural expression based classifier demonstrated to fit a unbalanced dataset, expression datasets across the samples
deep-neural-networks deeplearning expression-evaluator machine-learning machine-learning-algorithms neural-network neural-networks
Last synced: 02 Jan 2025
https://github.com/mvinyard/neural-diffeqs
Instantiate neural differential equations with ease
deep-learning deep-neural-networks neural-differential-equations neural-networks pytorch
Last synced: 25 Jan 2025
https://github.com/alandoescs/ml-reading-group
The GitHub Page of the Bavarian International School Machine Learning Reading Group
deep-learning deep-neural-networks machine-learning neural-networks reading-list
Last synced: 29 Dec 2024
https://github.com/binarybrainiacs/nexly
Deep Tech R&D Research
artificial-intelligence cpp20 cuda cuda-kernels cuda-programming deep-learning deep-neural-networks experimental hpc-systems infrastructure java maven natural-language-processing reccomendation-system research-and-development visual-studio
Last synced: 22 Dec 2024
https://github.com/sensorsini/pycaffejaer
A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework. This utilities can also be used to convert caffe networks into jAER xml format
deep-learning deep-neural-networks machine-vision sensors
Last synced: 21 Jan 2025
https://github.com/gkouros/cs231n-spring2018-assignments
Spring 2018 Assignments for the "Convolutional Neural Networks for Visual Recognition (cs231n)" course from Stanford University
cnn-for-visual-recognition deep-learning deep-neural-networks generative-adversarial-networks lstm-neural-networks recurrent-neural-networks stanford-cs231n
Last synced: 29 Jan 2025
https://github.com/minitechy/betavae_variants
beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch
beta-vae deep-neural-networks disentanglement dsprites mig mutual-information pytorch sap
Last synced: 22 Jan 2025
https://github.com/kalfasyan/regular_irregular_shapeselectivity
Repository for my paper with title "Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons."
convolutional-neural-networks deep-neural-networks models neuroscience research-paper vision vision-science
Last synced: 17 Jan 2025
https://github.com/iamfarrokhnejad/stock-forecasting-rnn
LSTM vs GRU
deep-learning-algorithms deep-neural-networks deeplearning gated-neural-network gated-recurrent-unit gated-recurrent-units gru lstm lstm-model lstm-neural-networks neural-network neural-networks neuralnetwork neuralnetworks python pytorch time-series
Last synced: 22 Jan 2025
https://github.com/ravisha-144/dl_practice
This repository follows the tutorials of the DL1 course at the UvA
deep-learning deep-neural-networks jax pytorch tensorflow
Last synced: 22 Jan 2025
https://github.com/kaocc/nerf_2d
Experiments of 2D NeRF (Neural Radiance Fields)
Last synced: 14 Jan 2025
https://github.com/het-shah/ml
deep-neural-networks machine-learning neural-network regression-models
Last synced: 03 Jan 2025
https://github.com/ostaptan/road_signs_prediction
Road signs prediction CNN model
cnn-classification deep-neural-networks machine-vision relu tensorflow
Last synced: 19 Jan 2025
https://github.com/valeman/udacity-self-driving-car-traffic-signs-classifier-p2
My project pipeline for the Udacity Self-Driving-Car Nanodegree program's Project 2 - Traffic Sign Classifier
convolutional-neural-networks deep-learning deep-neural-networks machine-vision pyton self-driving-car tensorflow
Last synced: 22 Jan 2025
https://github.com/simranjeet97/googlevision_ocr
GoogleVision_OCR Project to Read out PDF
data-science data-structures deep-learning deep-neural-networks gcp google google-analytics google-cloud-platform googlecloud googlecloudplatform googlecloudstorage machine-learning machine-learning-algorithms ocr ocr-engine ocr-recognition ocr-service python python-ocr python3
Last synced: 14 Jan 2025
https://github.com/donggeunyu/deep-learning-examples
Deep Learning의 여러 예제를 정리한 것!
deep-learning deep-learning-tutorial deep-neural-networks deeplearning python
Last synced: 16 Jan 2025
https://github.com/aryanjain28/blog---linear-regression
My first blog explains the concepts of linear regression that are the first steps towards advanced ML/AI.
blog blogs deep-learning deep-learning-blog deep-neural-networks deeplearning linear-regression linear-regression-blog machine-learning machine-learning-blogs ml-blog
Last synced: 29 Jan 2025
https://github.com/aryanjain28/blog-convolution-neural-network-cnn-
Easy explanation on Convolutional Neural Network.
blog blogs cnn cnn-blog cnn-classification convolutional-neural-networks deep-learning deep-neural-networks deeplearning machine-learning machine-learning-algorithms neural-network
Last synced: 29 Jan 2025
https://github.com/suwadith/footy-predictor-football-match-prediction-tensorflow-fastapi-plugin
A Deep-Learning (Tensorflow) based project which can be used to predict weekly EPL match results. Uses FastAPI as the backend to feed the results to a Chrome based plugin which then modifies the SkySports website to convey the predicted outcomes.
api chrome-extension deep-learning deep-neural-networks fastapi football prediction tensorflow
Last synced: 13 Jan 2025
https://github.com/troublete/go-qndnn
quick 'n' dirty neural network (for practical use)
ai deep-neural-networks go machine-learning relu sigmoid tanh
Last synced: 03 Jan 2025
https://github.com/codewithdark-git/melanoma-skin-cancer-cnn
This repository provides a demonstration of a deep learning-based system for detecting melanoma from grayscale images. The model predicts whether an input image is classified as "BENIGN" or "MELANOMA," along with a confidence score. Please note that this application is for educational purposes only and should not be used for real medical diagnosis.
cancer-detection cnn cnn-classification convolutional-neural-networks deep-neural-networks dl llm machine-learning melanoma-detection ml neural-networks nn python python-script torch torchvision
Last synced: 25 Jan 2025
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/bismillah-jan/deep-neural-network
A demonstration of Deep Neural Network implementation using TensorFlow.
adaline-learning-algorithm deep-neural-networks keras tensorflow
Last synced: 16 Jan 2025
https://github.com/stifler7/rl-for-game-ai
Game Artificial Intelligence with Reinforcement Learning This project provides experience in applying techniques of RL to game artificial intelligence. It shall demonstrate several RL algorithms- specifically Q-learning and deep Q-networks (DQN)- to game environments.
deep-learning deep-neural-networks deep-reinforcement-learning machine-learning
Last synced: 29 Jan 2025
https://github.com/ahmad-ali-rafique/batch-card-detection-app
A deep learning-based Streamlit app to detect if a person is wearing a batch card, built with TensorFlow. Includes trained model, app interface, and deployment guide.
ai artificial-intelligence carddetection deep-neural-networks streamlit-dashboard tensorflow
Last synced: 15 Dec 2024
https://github.com/margaretkhendre/nonprofit-funding-vs-deep-learning-challenge
In this repository, Google Colab is paired with neural networks and deep learning to examine data from the nonprofit, Alphabet Soup. This nonprofit desires a tool that can help it select applicants for funding, so a binary classifier will be created to predict whether applicants will be successful if funded by Alphabet Soup.
colab-notebook deep-neural-networks deeplearning jupyter-notebook neural-networks pandas standardscaler tensorflow
Last synced: 09 Jan 2025
https://github.com/ggiuffre/machine-lambda
Purely functional implementation of SGD on feed-forward neural nets
deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent
Last synced: 19 Jan 2025
https://github.com/gilbertocunha/lip-hepmetalearning
A repository that applies the Meta-SGD algorithm to High Energy Physics in Signal vs Background classification and studies the applicability of such methods.
deep-neural-networks hep metalearning
Last synced: 29 Jan 2025
https://github.com/gilbertocunha/lhc-vlq-classifier
A Deep Learning Neural Network that classifies Vector Like Quarks from background events using generated collider data
deep-neural-networks monte-carlo-dropout particle-physics quarks
Last synced: 29 Jan 2025
https://github.com/m0saan/guitardetect
Deep Learning for Guitars 🎸: Guitar Classifier using CNN
cnn cnn-classification deep-neural-networks guitar-classifier
Last synced: 16 Jan 2025
https://github.com/lifeisbeautifu1/deep-learning
My Google Colab notebooks for studying Deep Learning
ai computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks difussion machine-learning neural-network notebook python pytorch tensorflow text-to-image
Last synced: 19 Jan 2025
https://github.com/prpriesler/covid19-insights-and-analytics
This project delves into the realm of data analytics and programming, focusing on four pivotal datasets related to the COVID-19 pandemic: confirmed global, death global, vaccination & population data, and Twitter data.
covid19 covid19-data data data-science dataanalytics deep-neural-networks machine-learning natural-language-processing
Last synced: 28 Dec 2024
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/mahendran-narayanan/double-vit
[ICPR 2024] DoubleViT Pushing transformers towards the end because of convolutions
deep-learning deep-neural-networks icpr2024 pytorch tensorflow
Last synced: 21 Dec 2024
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/raufjatoi/handwritten-character-recognition
Handwritten character recognition system that can recognize various handwritten characters or alphabets. I will extend this to recognize entire words or sentences.
deep-learning deep-neural-networks machine-learning mnist-handwriting-recognition
Last synced: 25 Jan 2025
https://github.com/himudigonda/digits-recognition
This project uses ML and keras modules to recognise digits from the given dataset.
deep-learning deep-neural-networks digit-recognizer jupyter-notebook keras tensorflow
Last synced: 15 Nov 2024
https://github.com/phyulwin/machine-learning-with-python-projects
Projects for Machine Learning with Python freeCodeCamp (Updated Solution in Progress... 🌿)
deep-neural-networks google-colab machine-learning python tensorflow
Last synced: 30 Dec 2024
https://github.com/s1s1ty/mlpractice
ML practice for learning
computer-vision deep-neural-networks machine-learning
Last synced: 23 Jan 2025
https://github.com/faraasat/deeplearningai_deep_learning_specialization
Deeplearning.ai Deep Learning Specialization
artifiical-intelligence deep-neural-networks machine-learning python tensorflow
Last synced: 21 Nov 2024
https://github.com/ardawanism/autoencoder_ml_kntu_spring2024
In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).
autoencoder autoencoder-neural-network autoencoders deep-learning deep-neural-networks machine-learning
Last synced: 20 Jan 2025
https://github.com/qile0317/bacteria-classifier-cnn
A resnet50 bacterial genus/strain classifier from the dibas dataset.
bacteria-classification cnn deep-learning deep-neural-networks fastai image-classification
Last synced: 19 Jan 2025
https://github.com/kmr0877/digit-recognition
Implementation of CNNs for handwritten digit recognition
convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks mnist mnist-classification mnist-dataset mnist-handwriting-recognition mnist-image-dataset python3 recurrent-neural-networks tensorflow
Last synced: 28 Dec 2024
https://github.com/sumanthgubbala/dog-vs-cat-classification
Dog vs Cat Classification using Transfer Learning
deep-neural-networks dog-vs-cat-classification flask tensorflow tensorflowhu transfer-learning
Last synced: 30 Dec 2024
https://github.com/t-mohamed-shafeek/vgg16-for-malware-classification
This is a Research project which introduces an AI approach which is Deep Neural Networks in this case, to detect and classify different malwares belonging to various families represented as images.
classification cnn deep-learning deep-neural-networks fine-tuning hyperparameter-tuning malware-research supervised-learning transfer-learning vgg16
Last synced: 14 Dec 2024
https://github.com/ardawanism/a-tour-of-pytorch
In this repo, an introductory tutorial on PyTorch is provided. You can learn about the basics of PyTorch alongside defining and training deep neural networks consisting of different layer types such as fully-connected, convolutional, and etc.
convolutional-neural-networks deep-learning deep-neural-networks deeplearning multilayer-perceptron neural-network neural-networks pytorch pytorch-tutorial
Last synced: 10 Oct 2024
https://github.com/ravish1729/neural-network-for-beginners
Create a image classifier with your own architecture
computer-graphics computer-vision deep-learning-tutorial deep-neural-networks machine-learning mnist-classification
Last synced: 11 Jan 2025
