Topic: "keras-neural-networks"
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
Language: Jupyter Notebook - Size: 14 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 3
madhurchhajed/Facial-Emotion-Recognition
Deployed a facial emotion recognition using neural network model which predicts the emotion from faces in images, videos and live feed from webcam.
Language: Jupyter Notebook - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 7
fazeVaib/DigiVision
A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
Language: Python - Size: 148 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 5
faust-prime/X-ray-images-classification-with-Keras-TensorFlow
ConvNet (CNN) implementation to classify x-ray medical images
Language: Jupyter Notebook - Size: 87.4 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 12
doneria-anjali/intrusion-detection-engine
Intrusion detection engine for Cloud Systems built using Alternative Fuzzy C-mean Clustering and Artificial Neural Network
Language: Python - Size: 1.29 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 3
edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimerโs disease (AD).
Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 4
jrasero/Predicting-icns
Results and plots replications for paper in prediction of Intrinsic Connectivity Networks in task versus resting fMRI
Language: Python - Size: 2.24 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 2
yuvalailer/nnplot
:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights
Language: Python - Size: 10 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 10 - Forks: 1
afelsen/fantasy-football-nn
A neural network that predicts fantasy football scores
Language: Python - Size: 64.4 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 0
RohitMidha23/Neural-Network-Decision-Boundary
Language: Python - Size: 240 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 3
akshaysharma096/Classify-human-diseases-using-DeepLearning
Automated methods to detect and classify human diseases from medical images, using Deep Neural Networks
Language: HTML - Size: 373 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 6
SabareeshIyer/Transfer-Learning-using-VGG16-in-Keras
Using VGG16 network trained on ImageNet for transfer learning and accuracy comparison
Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 7
eddieoz/RSA-primes-resolution
Recover a Private Key from a given Public Key using the Right Triangle-based Constant time mathematical solution method.
Language: Python - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0
SUKHMAN-SINGH-1612/IBM-AI-Engineering
This comprehensive collection of notebooks serves as a valuable resource for learners pursuing the IBM AI Engineering Professional Certificate course.
Language: Jupyter Notebook - Size: 217 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 3
edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimerโs disease (AD) with MRI data.
Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1
BaseMax/ImageRecognition
Recognition of the images includes train and tests based on Python.
Language: Python - Size: 124 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 2
thakur-nandan/DeepLearningWithKeras
How to use the Keras Deep Learning library
Language: Jupyter Notebook - Size: 168 KB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 3
gtesei/DeepExperiments
TensorFlow/Keras experiments on computer vision and natural language processing
Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 10
JunshengFu/driving-behavioral-cloning
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
Language: Python - Size: 28.3 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 9 - Forks: 8
yhagio/stock_price_predictor ๐ฆ
Stock Price Predictor with Deep Learning
Language: Jupyter Notebook - Size: 5.63 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 9 - Forks: 10
liangstein/ByteNet-Keras
French to English translator on character level implemented by Keras
Language: Python - Size: 871 KB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 9 - Forks: 2
fernandolucasaa/computerGeneratedHolography
Computer-generated holography (CGH) is the method of digitally generating holographic interference patterns
Language: Jupyter Notebook - Size: 352 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 4
emirhanai/Cell-Instance-Segmentation-Deep-Learning-Project-Emirhan-BULUT
Cell Instance Segmentation - Deep Learning Project - Emirhan BULUT
Language: Jupyter Notebook - Size: 3.22 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 1
SadmanSakib93/ANN-Stratified-K-Fold-Cross-Validation-Keras-Tensorflow
This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.
Language: Jupyter Notebook - Size: 998 KB - Last synced at: 7 months ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 2
sushant1827/Fashion-Clothing-Classification
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 3
prakharchoudhary/MLworld
A collection of simple machine learning projects, that got me started in this wonderful domain!
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harunurrashid97/Neural-Style-Transfer-of-Artistic-Style
Art to Image Style Transfer using Keras
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 1
jay-johnson/antinex-datasets
Datasets for training deep neural networks to defend software applications
Language: Python - Size: 3.88 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 0
snth/ctdeep
Cape Town Deep Learning Meetup Files
Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 8 months ago - Pushed at: almost 9 years ago - Stars: 8 - Forks: 3
Javihaus/Advanced-Time-series-analysis
Advance Time Series Analysis using Probabilistic Programming, Auto Regressive Neural Networks and XGBoost Regression.
Language: Jupyter Notebook - Size: 8.47 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 2
shiv-u/facial_expression_recognizer
Keras and FastAi implementation of facial expression recognizer
Language: Python - Size: 124 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1
gayathri1462/Controlling-Media-Player-with-Hand-Gestures-using-Convolutional-Neural-Network
An application to control media player from distance using hand gestures. It was developed by creating a hand gestures dataset using OpenCV, building a 2D CNN model for feature extraction and classification, and integrating the Keyboard keys to hand gestures using the PyAutoGUI library. whenever a gesture is predicted, the corresponding action is performed on the Media Player. Also, created a user interface using the Streamlit web framework and deployed source files with demo using streamlit.io sharing.
Language: Jupyter Notebook - Size: 56.7 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 2
GKalliatakis/DisplaceNet
Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)
Language: Python - Size: 6.81 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3
north0n-FI/Analysing-IMDB-reviews-using-GloVe-and-LSTM
Using the IMDB data found in Keras here a few algorithms built with Keras. The source code is from Francois Chollet's book Deep learning with Python. The aim is to predict whether a review is positive or negative just by analyzing the text. Both self-created as well as pre-trained (GloVe) word embeddings are used. Finally there's a LSTM model and the accuracies of the different algorithms are compared. For the LSTM model I had to cut the data sets of 25.000 sequences by 80% to 5.000, since my laptop's CPU was not able to run the data crunching, making the model's not fully comparable.
Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 3
FraFabbri/bazingabot
Simple but effective Knowledge-bot built with Seq2Seq and LSTM
Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0
jfjensen/numerai_article
Creating Predictions for Numerai with Keras and scikit-learn
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NikolasMarkou/blind_image_denoising
Implementing CVPR 2020 paper "ROBUST AND INTERPRETABLE BLIND IMAGE DENOISING VIA BIAS - FREE CONVOLUTIONAL NEURAL NETWORKS"
Language: Jupyter Notebook - Size: 138 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1
RafayKhattak/EmotionAI
EmotionAI uses a CNN model to analyze facial expressions and accurately recognize emotions (happiness, sadness, anger, etc.)
Language: Python - Size: 13.9 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0
MoinDalvs/Neural_Networks_From_Scratch
Neural_Networks_From_Scratch
Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 4
kamaravichow/hrv-stress-prediction-model
A Keras model to estimate psychological stress using HRV (Heart Rate Variability)
Language: Python - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0
antkaynak/GoGame
A full-stack web application to demonstrate how a convolutional neural network works with a fun game, Go!
Language: Python - Size: 2.02 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1
ibrahimalimetin/HDAD-iGAV-Dataset-and-its-Benchmarking-GUI-with-Deep-Learning-Techniques-for-HAR
For HAR, our novel HDAD (IGAV) dataset was constructed by performing 4 dynamic and 3 static activities with the accelerometer and gyroscope sensors of the IOS smart phone in two different positions for a total of 15 seconds. Mentioned activities were collected in real time by placing them on the waist of a total of 10 volunteers.
Language: Python - Size: 636 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0
ds-brx/Time-series-analysis-project
Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.
Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2
sharatsawhney/character_segmentation
A detailed Research project on Character-Segmentation using Neural Networks!
Language: Python - Size: 127 MB - Last synced at: 8 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 6
Ananya-98/Face-Recognition-in-Keras-using-CNN
Face recognition system is implemented in python 3.7 using keras and opencv. CNN model is used for prediction of the test image.
Language: Python - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1
shivaniarbat/Image-Segmentation-UNet
Implementation of U-Net using Keras and tensorflow for Image Segmentation
Language: Python - Size: 1.4 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 2
PantelisKyriakidis/MNIST-with-Keras
MLP, CNN, RBFN and SVM on MNIST dataset with Keras framework
Language: Python - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 3
maghid/italian_fingerspelling_recognition
Dataset + convolutional neural network for recognizing Italian Sign Language (LIS) fingerspelling gestures
Language: Python - Size: 60.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 4
haribaskar/Keras_Cheat_Sheet_Python
Keras Cheat Sheet: Neural Networks in Python
Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 2
Koziev/WordRepresentations
ะกัะฐะฒะฝะตะฝะธะต ะฝะตัะบะพะปัะบะธั ัะฟะพัะพะฑะพะฒ ะฟัะตะดััะฐะฒะปะตะฝะธั ัะปะพะฒ ะดะปั ะฟะพัััะพะตะฝะธั ัะทัะบะพะฒัั ะผะพะดะตะปะตะน
Language: Python - Size: 128 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 4
jefflai108/LSTM
Voice activity detection of noisy speech files with LSTM. LSTM is implemented with Keras. Data processing is done with Python, MATLAB, and Bash. Experiments are done on Johns Hopkins CLSP GPUs.
Language: Python - Size: 14.7 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 4
carlthecoder123123/Realtime-emotion-detector
A deep learning-based system that detects facial expressions from webcam input and classifies them into seven emotions โ Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise โ using a CNN model and OpenCV for real-time face detection.
Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 5 - Forks: 0
gulabpatel/Knowledge_Distillation
Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0
MoinDalvs/Neural_Network_Regression_Gas_Turbines
Predicting Turbine Energy Yield (TEY) using ambient variables as features.
Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1
andiosika/NLP-to-identify-toxic-or-abusive-language-for-online-conversation-using-Keras-Deep-Learning-Models
Natural Language Processing: A multi-headed model capable of detecting different types of online discussion toxicity like threats, obscenity, insults, and identity-based hate using Keras RNN LSTM and focal loss to address a hyper-imbalanced dataset.
Language: Jupyter Notebook - Size: 166 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2
hazem-alabiad/automated-essay-grading-system
This is a system that automatically grades essays built using Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) techniques with the help of many libraries and tools e.g. scikit-learn, Keras, Seaborn, Gensim, NLTK, Ploty, Numpy, Pandas.
Language: HTML - Size: 71.2 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 3
AvonleaFisher/Analyzing-NYC-311-Service-Requests
Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2
thefirebanks/AutomatedVoting
Automatic design of voting rules using neural networks
Language: Python - Size: 23.4 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0
rv20197/COVID-19-Analysis-and-Prediction-Using-AI
Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 5
aaryapatel007/drone_controls
ROS package for using steering angle and collision probability predicted via pre-trained ResNet model for drone navigation using ROS Kinetic in Gazebo 3D environment.
Language: Python - Size: 1.14 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0
sapanz/Digit-Recognition-using-Machine-Learning
Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: 8 months ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1
neerajkesav/ann-thyroid-classification
UCI Thyroid Classification - Python, Keras, scikit-learn, ANN
Language: Python - Size: 152 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
huyhieupham/DenseNet-Action-Recognition-with-Enhanced-SPMFs
Language: Python - Size: 98.4 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 4
aanchal1308/disease-diagnosis-ML
Machine learning models for detection of diseases.
Language: Jupyter Notebook - Size: 277 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 2
maphdev/Deep_Visualization_Neural_Networks_Web_app
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
Language: Python - Size: 1.81 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1
dhanushkamath/CIFAR-10
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 5
hsakas/TextClassification ๐ฆ
Text classification using CNN & LSTM
Language: Python - Size: 1.24 MB - Last synced at: 5 months ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 4
sergio11/iot_network_malware_classifier
๐ก๏ธ The IoT Network Malware Classifier ๐ is an advanced solution tackling security concerns in IoT, employing deep learning for precise malware detection in network traffic.
Language: Jupyter Notebook - Size: 5.48 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1
Jalalbaim/MNIST-Digit-recognition
Utilizing various CNN architectures to perform digit recognition on the MNIST Dataset.
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
luca-parisi/hyper_sinh
hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch
Language: Python - Size: 36.1 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2
SubhangiSati/Identification-of-Gemstone-using-MobileNetV2-and-transfer-learning
The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2
Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
rid17pawar/FashionApparelClassification-webapp
A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model which is deployed using FastAPI. Achieved 85% accuracy in classifying images.
Language: JavaScript - Size: 12.1 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1
MLH-Fellowship/0.1.2-sentiment-analysis-visualization
Machine Learning Web Application. Helps to visualize a character-by-character breakdown of how sentiment analysis classifies text
Language: Python - Size: 43.2 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 5
TheIntonet/fasterrcnn
faster R-CNN in Keras and Tensorflow 2
Language: Python - Size: 110 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0
Siris2314/NecroFinance
A powerful financial assistant built with databases, Neural Networks, and Natural Language Processing
Language: Python - Size: 947 KB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1
mikeroyal/Keras-Guide
Keras Guide
Language: Python - Size: 121 KB - Last synced at: 8 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0
debdattasarkar/Deep-Learning-Specialization
Deep Learning Specialization helps understand the capabilities, challenges, and consequences of deep learning and prepare to participate in the development of leading-edge AI technology.
Language: Jupyter Notebook - Size: 233 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0
nischaybikramthapa/colon-cancer-detection
Detection of Colon Cancer Cell and its types using a semi-supervised approach with deep learning
Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1
bhattbhavesh91/xavier-initialization-walkthrough
A repository to show how Xavier initialization in Neural Networks help to initialize the weights of the network with random values that are not too small and not too large.
Language: Jupyter Notebook - Size: 207 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 3
easonlai/pneumonia_classification_challenge_databricks
This is sample repos for how to use Keras Tuner to perform hyper-parameter tuning in Databricks.
Language: Jupyter Notebook - Size: 204 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
deysarkarswarup/Facial_Emotion_Detection
This is a simple Realtime Emotion Detector buid using #Keras and #OpenCV library. Kaggle Facial Expression dataset is used. The accuracy is around 59%.
Language: Python - Size: 168 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1
officialpm/Face-Expression-Classification-CNN
๐ต Face Expression Classification using Convolutional-Neural Networks (CNN) ๐ฅ using fer2013 dataset ๐
Language: Jupyter Notebook - Size: 51.3 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
SadmanSakib93/Medical_Image_Classification_Keras
This is an example of medical image classification (binary classification) using Keras. Note that, the model is not fully optimized in this program, and hence it can be further optimized and the accuracy of the model can be enhanced further.
Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: 21 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
ShashiChilukuri/Deep-Learning-Projects
Repository for some of Deep Learning Projects I worked
Language: Jupyter Notebook - Size: 659 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2
dnul/stadium_cnn
A sample project working with keras to analyze satellite imagery.
Language: Jupyter Notebook - Size: 85.7 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
ShawonAshraf/ImageStyleTransfer ๐ฆ
Class Project for Introduction to Machine Learning (CSE445) done in Summer 2017
Language: Jupyter Notebook - Size: 5.62 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
davidevdt/datamining_jbi030
Course Material for my part of the Data Mining (JBI030) course
Language: Jupyter Notebook - Size: 9.92 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 5
Sangarshanan/Neural-Language-Translation
Tamil to English translation using Neural Networks
Language: Jupyter Notebook - Size: 110 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 3
yogeshchellappa/quora-questions-pairs
Siamese network: Predict if pairs of questions from Quora contain two questions with the same semantics.
Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0
shubham3121/Machine_Learning_ND ๐ฆ
This repository consists of projects using different Machine Learning techniques taught in the Machine Learning Engineer Nanodegree at Udacity.
Language: Jupyter Notebook - Size: 35.3 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 1
Dwijraj/Hand-Written-Digit-Recognition
This is a repository with various classifier written in jupyter notebook that works on hand written digits images.
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: 7 months ago - Pushed at: about 8 years ago - Stars: 4 - Forks: 9
wolny/keras-image-net
Simple REST app for image classification using Keras pre-trained deep learning models
Language: Python - Size: 51.8 KB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 4 - Forks: 0
wikke/Kaggle-Dogs-vs-Cats
Dogs-vs-Cats image classification
Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 4 - Forks: 0
ao9000/sudoku-lens
This project is the implementation of the sudoku solver using computer vision & backtracking algorithm
Language: Python - Size: 29.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1
sergio11/disasters_prediction
๐จ Classifying disaster-related tweets using deep learning ๐ค to identify real vs. fake news during crises ๐. ๐ NLP techniques help clean and preprocess data for accurate predictions ๐.
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EshaBiniwale/SBAO-15MW-FOWT-UMaine-semi-sub
Design optimization of floating offshore wind turbine with surrogate models
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maxtrouble27/Supernova-Neutrinos
UCL PHAS0056 (Machine Learning for Physicists) Final Project. Applying ML techniques to the binary classification and energy reconstruction of simulated neutrino events in LArTPCs
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prakharjadaun/ML-Learn-With-Me
Learn Machine learning and its different algorithms with me. In this repo, I upload well explained ml algorithms and topics related to statistics.
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AbhiramDodda/Eye_Disease_OCT
Eye diseases can be detected using Retinal Optical Coherence Tomography(OCT). The project aims at building CNN on Retinal OCT images dataset.
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shettysach/Kannada-Digit-Recognizer-v1 ๐ฆ
Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.
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