Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2025-01-16 00:07:31 UTC
- JSON Representation
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/berndporr/deep-learning-analytics
The core deep learning math
deep-learning deep-neural-networks
Last synced: 08 Jan 2025
https://github.com/motykatomasz/deepimageprior
Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.
cnn deep-learning deep-neural-networks pytorch
Last synced: 15 Dec 2024
https://github.com/md-emon-hasan/ml_project_fake_news_predictin_using_deep_learning_with_lstm
📰 The Fake News Detection System uses deep learning techniques, specifically LSTM models, to classify news articles as real or fake.
ai cnn data-science deep-learning deep-neural-networks fake-new fake-news-detection gru keras lstm lstm-neural-networks machine-learning ml news-classification rnn sentiment-analysis tensorflow tensorflow-model text-classification text-processing
Last synced: 21 Nov 2024
https://github.com/sebukpor/breast-cancer-classification
this model classifies breast cancer as either benign or malignant
deep-learning deep-neural-networks tensorflow tensorflowjs
Last synced: 22 Dec 2024
https://github.com/saadarazzaq/custom-neural-networks
Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo ✨
deep-neural-networks keras numpy perceptron python scikit-learn tensorflow
Last synced: 23 Nov 2024
https://github.com/shashwat9kumar/covid_face_mask_detection
Detecting whether a person in the picture has face mask on or not using a convolutional neural network
cnn covid19 deep-learning deep-neural-networks face-detection mask-detection tensorflow
Last synced: 12 Jan 2025
https://github.com/erfanzar/cnn-custom-object-detection
a custom object detection with cnn and residual blocks and ready to train with at least 100 classes
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks deeplearning-ai object-detection python
Last synced: 28 Dec 2024
https://github.com/architgargpro/emotiondetector
This Machine Learning project aims to classify the emotion on a person's face into one of four categories, using deep convolutional neural networks.
cnn-keras deep-neural-networks keras-tensorflow machine-learning python
Last synced: 19 Nov 2024
https://github.com/techshot25/keplerdata
This checks out data provided by the Kepler space telescope to study exoplanets.
artificial-neural-networks decision-tree-algorithm deep-neural-networks k-nearest-neighbors machine-learning matplotlib multi-layer-perceptron neural-network random-undersampling statistics support-vector-machines
Last synced: 07 Jan 2025
https://github.com/kalessin/nntop
deep-learning deep-neural-networks python2 python3 tensorflow
Last synced: 24 Nov 2024
https://github.com/kalthommusa/deep-neural-networks-with-pytorch
Collection of Coursera's Deep Neural Networks with PyTorch course by IBM labs notebooks.
cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks neural-network pytorch pytorch-cnn
Last synced: 16 Nov 2024
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/cooldragon12/solana-forecasting-using-lstm
A time series forecasting analysis using LSTM for the Solana Price
deep-neural-networks lstm lstm-model machine-learning
Last synced: 07 Jan 2025
https://github.com/akashash01/artificial_neural_network
It is an network of neurons that make up a human brain, so that machine can able to learn things and make decision like humans. This deep learning model is more flexible for regression and classification problems(linear & non-linear), susceptible to overfitting.
data-science datavisualization deep-learning deep-neural-networks python
Last synced: 14 Dec 2024
https://github.com/papapana/sagemaker-sentiment-analysis
Sentiment Analysis with LSTMs deployed in Amazon Sagemaker
aws aws-lambda deep-learning deep-neural-networks lstm sagemaker sentiment-analysis
Last synced: 13 Jan 2025
https://github.com/stazizov/projecthat
image verification system
deep-learning deep-neural-networks deepface face-landmarks facial image mediapipe opencv recognition torch verification
Last synced: 12 Jan 2025
https://github.com/dansolombrino/creactive
A set of experiments on Deep Neural Networks activation functions
activation-functions deep-learning deep-neural-networks nonlinear-optimization
Last synced: 14 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: 19 Nov 2024
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/guiferviz/aidictive
Addictive Artificial Intelligence library! SOTA models made easy :)
artificial-intelligence deep-learning deep-neural-networks easy-to-use machine-learning
Last synced: 12 Jan 2025
https://github.com/dansolombrino/biscuits
A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos
batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets
Last synced: 14 Dec 2024
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 Nov 2024
https://github.com/blacksujit/deep-neural-networks
This repo contains my Neural Networks Learning With Projects
deep deep-layers deep-learning deep-neural-networks embeddings-word2vec llvm network-embeddings neural-network transformers-layers transformers-models vision-language-model
Last synced: 15 Nov 2024
https://github.com/ahammadmejbah/fundamental-concepts-and-architectures-of-neural-network
Neural Networks are a set of algorithms, modeled loosely after the human brain, designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling, and clustering of raw input.
deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning
Last synced: 09 Jan 2025
https://github.com/mauricioacosta/reconocimientoexpresionesfaciales
Red Neuronal para predecir emociones
deep-neural-networks keras-tensorflow python3 tensorflow
Last synced: 20 Nov 2024
https://github.com/nuel77/style_transfer_using_tensorflow_2.0
style transfer using vgg19 model- referenced form tensor flow tutorials- made using tensorflow 2.0 and keras
beginner-friendly beginner-project deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow style-transfer tensorflow-examples tensorflow-experiments tensorflow-tutorials vgg19
Last synced: 17 Nov 2024
https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
Last synced: 17 Nov 2024
https://github.com/ondrejbiza/drl_gym
Deep Reinforcement Learning gym.
deep-neural-networks deep-reinforcement-learning openai-gym reinforcement-agents reinforcement-learning tensorflow tensorflow-experiments
Last synced: 08 Jan 2025
https://github.com/coolashishpt/-machine-deep-learning
RESEARCH PAPERS AND IMPLEMENTATIONS (Semi Projects)
deep-learning deep-neural-networks jupyter-notebook machine-learning machinelearning-python python-3-6
Last synced: 22 Dec 2024
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: 15 Nov 2024
https://github.com/apal21/tensorflow-pima-indians-dataset-classification
Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.
classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow
Last synced: 31 Dec 2024
https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-powerbi-dashboard
Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.
attendance-management-system deep-neural-networks dlib-face-recognition face-recoginition flask opencv opencv-python power-bi power-bi-dashboard powerbi powerbi-report python sqlite3
Last synced: 15 Nov 2024
https://github.com/0xdaksh/loanclassifier
A Dead Accurate Deep Learning Algorithm that Can classify if you'll take loan or not.
classifier deep-learning deep-neural-networks keras neural-network python python35
Last synced: 17 Nov 2024
https://github.com/dhrupad17/100-days-of-deep-learning
Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.
cnn deep-learning deep-neural-networks lstm-neural-networks mlp-networks perceptron rnn
Last synced: 15 Nov 2024
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: 15 Nov 2024
https://github.com/data-pioneer/mlops-name-entity-recognition-end-to-end-main
Implementation of MLops pipeline for Named Entity Recognition (NER) using pretrained Huggingface BERT transformer based model, further use CircleCI CI/CD tool for deployment on google cloud platform by using Docker image, Flask front end interface.
artifact-registry bert-fine-tuning circleci deep-neural-networks docker-image flask-application google-cloud huggingface-transformers pythin3
Last synced: 17 Nov 2024
https://github.com/aditya30394/dogs-vs-cats
Using convolution networks to classify Dogs and Cats
convolutional-neural-networks deep-neural-networks image-classification python-3 transfer-learning
Last synced: 07 Dec 2024
https://github.com/hayatiyrtgl/lstm_time_seriesv2
The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.
analyzer deep-learning deep-neural-networks forecasting lstm pandas python time-series
Last synced: 22 Dec 2024
https://github.com/namratagulati/textingwithcnn
This project focuses on the training and evaluation of a TextCNN model for text classification. The model architecture includes an embedding layer, convolutional layers with max-pooling, dropout for regularization, and a softmax layer for classification
convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning
Last synced: 08 Jan 2025
https://github.com/gosuto-inzasheru/aml-densenet-varying-learning-rates
Re-training the deep neural network DenseNet using various learning rate strategies. Entry for the Food Recognition Challenge for the Master's course Applied Machine Learning.
cyclical-learning-rate deep-neural-networks densenet image-classification learning-rate-benchmarking learning-rate-decay
Last synced: 14 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/uranusx86/addernet-on-tensorflow
a implementation of neural network with almost no multiplication with tensorflow 2 (Adder Net)
adder addernet ai artificial-intelligence cnn custom-layer deep-learning deep-neural-networks image-classification implementation implementation-of-research-paper keras lightweight mnist neural-network tensorflow tensorflow2
Last synced: 20 Nov 2024
https://github.com/kmohamedalie/dtm_deep_learning_euclid_dataset
Euclid Dataset
computer-vision convolutional-neural-networks deep-neural-networks geometry machine-learning mathematics
Last synced: 02 Jan 2025
https://github.com/ofir-frd/cats-vs-dogs-deep-learning
deep-learning deep-neural-networks dogs-vs-cats mobilenet vgg16
Last synced: 11 Jan 2025
https://github.com/najdbinrabah/deep-learning-with-pytorch-and-captum
This project classifies smoking images using VGG19 with data augmentation, and Captum for model explainability, identifying key features per prediction.
binary-classification captum data-augmentation data-science deep-learning deep-neural-networks grad-cam image-classification integrated-gradients layer-attributions machine-learning occlusion primary-attributions python pytorch transfer-learning vgg19-model
Last synced: 17 Nov 2024
https://github.com/onurmx/emotion-recognition
Emotion recognition from facial images using convolutional neural networks.
ckplus computer-vision convolutional-neural-networks deep-learning deep-neural-networks emotion-recognition fer2013-dataset image-augmentation image-classification image-processing image-recognition kdef-dataset machine-learning pyside pytorch resnet tensorflow torch torchvision vgg
Last synced: 17 Nov 2024
https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml
A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs
adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow
Last synced: 17 Nov 2024
https://github.com/sixcolors/hotdog
Image classification application that uses deep learning to determine whether an image contains a hotdog or not.
ai deep-neural-networks hotdog hotdog-classifiers machine-learning ml not-hotdog python3 tensorflow
Last synced: 14 Dec 2024
https://github.com/harshuljain13/dogsbreedclassification
Classifying the dogs breed using transfer learning in DeepLearning
deep-learning deep-neural-networks inceptionv3 keras tensorflow transfer-learning
Last synced: 30 Dec 2024
https://github.com/bottomsnode/plateai-indian-license-plate-detection-master
PlateAI is a state-of-the-art ALPR system employing AI and machine learning to detect and recognize license plates from images or video streams in real-time. It offers robust, efficient, and scalable performance, catering to diverse applications with high accuracy and reliability.
artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks image-processing machine-learning
Last synced: 17 Nov 2024
https://github.com/gregyjames/rperceptron
A simple perceptron implemented in R.
classification classification-algorithims classification-algorithm data-science deep-learning deep-neural-networks graphing linear-classifier perceptron perceptron-learning-algorithm r
Last synced: 08 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/utility-code/sprintdl
pytorch wrapper for easier experimentation
deep-learning deep-neural-networks pytorch
Last synced: 20 Nov 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: 20 Nov 2024
https://github.com/debasish-dutta/handwritten-digit-classifier
A web-app based on a handwritten digit recognizer TF model and its neural network created from scratch and is deployed using a web-app with tensorflow.js
deep-neural-networks tensorboard-mnist-digit tensorflow2
Last synced: 18 Nov 2024
https://github.com/stupidcucumber/stablediffusion
A repository for fine-tuning StableDiffusion2.
deep-neural-networks diffusion-models generation python stable-diffusion text-to-image torch training
Last synced: 18 Nov 2024
https://github.com/stupidcucumber/deeplabv3-celebhq
Trained Torch version of the DeepLab on the CelebHQ.
deep-neural-networks deeplabv3 face-segmentation python3 segmentation-models torch
Last synced: 18 Nov 2024
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: 30 Nov 2024
https://github.com/aishwaryahastak/alzheimer-s-detection
Alzheimer's Detection from Brain MRI scans using DNN
deep-neural-networks healthcare image-classification
Last synced: 02 Jan 2025
https://github.com/aravinda-1402/diabetes-prediction-using-machine-learning
To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset
data-science deep-neural-networks machine-learning-algorithms
Last synced: 18 Nov 2024
https://github.com/aravinda-1402/cotton_disease_prediction
Deep Learning model to detect a diseased cotton plant
cnn deep-neural-networks python3
Last synced: 18 Nov 2024
https://github.com/rupeshtr78/machine_learning
Machine Learning TensorFlow Neural Networks Deep Learning
classification data-analysis deep-learning deep-neural-networks flink jupyter-notebook keras machine-learning machinelearning-python perceptron python3 spark tensorflow
Last synced: 12 Jan 2025
https://github.com/mohamedomar2020/keras_tensorflow
Using Keras to build a deep neural network for bladder cancer progression
adam-optimizer bladder-cancer cancer cancer-research deep-learning deep-neural-networks dropout genomics keras keras-tensorflow machine-learning machine-learning-algorithms multi-perceptron sgd-optimizer softmax tensorflow
Last synced: 03 Oct 2024
https://github.com/enheragu/mnist-learning-playground
Just repository with code to play MNIST dataset and different learning models
deep-learning deep-neural-networks mnist mnist-classification python pytorch
Last synced: 29 Dec 2024
https://github.com/faisal-fida/nlp-classification-qna-for-beginners
Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.
challenges deep-neural-networks nlp-machine-learning text-classification text-generation
Last synced: 08 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/somjit101/self-driving-car
An implementation of a simple self-driving car control using the image feed from a single dashcam.
autonomous-driving autonomous-vehicles car cnn cnn-keras convolutional-layers convolutional-neural-networks dash-cam deep-learning deep-neural-networks feature-extraction neural-network self-driving-car tensorflow
Last synced: 16 Nov 2024
https://github.com/aungkaungpyaepaing/mask-nomask-classification
Purpose of this project is to classified the captured image or input image, has masks or not. This model had trained with Convolutional Neural Network (CNN) and has high accuracy. The only problem of this model is it cannot detect the mask with different color due to dataset but included possible solution at the end of doc.
classification convolutional-neural-networks deep-learning deep-neural-networks image-classification image-processing
Last synced: 20 Nov 2024
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/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/ostaptan/road_signs_prediction
Road signs prediction CNN model
cnn-classification deep-neural-networks machine-vision relu tensorflow
Last synced: 18 Nov 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/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: 01 Dec 2024
https://github.com/maxvandenhoven/deep-defect-detection
University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts
binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn
Last synced: 29 Dec 2024
https://github.com/hemanthh17/ct5129-thesis-image-dehazing
ClearFlow: An Enhanced Image Dehazing Workflow Using Model Ensembling and CNN Postprocessing. This project is aimed to train a neural network to handle the task of image dehazing.
computer-vision deep-learning deep-neural-networks torch torchvision
Last synced: 21 Nov 2024
https://github.com/natielle/udemy-tensorflowcompython
Material de estudo do curso: https://www.udemy.com/course/tensorflow-machine-learning-deep-learning-python/learn/lecture/12670278#overview
deep-learning deep-neural-networks deeplearning python tensorflow
Last synced: 21 Nov 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/abhaskumarsinha/1d-gan
A simple well-documented tutorial on implementing a 1D GAN on Keras using a Python Jupyter Notebook
deep-learning deep-neural-networks gan generative-adversarial-network keras keras-tensorflow python3 tensorflow2 tutorial
Last synced: 21 Nov 2024
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: 01 Dec 2024
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: 01 Dec 2024
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: 01 Dec 2024
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: 01 Dec 2024
https://github.com/autuanliu/kaggle-compettions
Kaggle Compettions code
deep-neural-networks kaggle-competition python36
Last synced: 21 Nov 2024
https://github.com/zakircodearchitect/flight-intent-classifier
This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.
atis-dataset deep-neural-networks intent-classification neural-network
Last synced: 29 Dec 2024
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/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/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/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/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 Nov 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: 01 Dec 2024