cnn-regression

There are 0 repository under cnn-regression topic.

Mehrab-Kalantari / Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
advanced-machine-learning catboostregressor cnn-regression feature-engineering image-feature-extraction image-preprocessing mlp-regression sift sift-algorithm xgboost-regressor multi-channel-cnn
Language:Jupyter Notebook 52
rsyamil / cnn-regression
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
cnn-regression keras-tensorflow engineering transfer-learning forward-proxy tutorial
Language:Jupyter Notebook 48
edukhnai / valence-arousal-recognition
Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
valence-arousal emotion-recognition emotion-detection python3 jupyter-notebook affectnet-database cnn-keras cnn-regression deep-learning
Language:Jupyter Notebook 22
TomStog / Infrared-SpO2
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
dataset spo2 3d-cnn-model cnn cnn-regression eulerian-video-magnification generalized-additive-models infrared infrared-images linear-regression video-magnification contactless python video transformer vivit photoplethysmography multisource-data
Language:Python 12
ahmadsallakh / Images-Resolution-Enhancement-Usiung-CNN
This project aims to enhance the quality of low-resolution images by mainly focusing on sharpening the edges of colors in the image; making them sharp and distinctly better quality with some improvement in the overall quality of the image. This will be achieved through Deep Learning.
cnn cnn-regression convolutional-neural-networks deep-learning images keras keras-tensorflow machine-learning neural-network python residual-dense-network tensorflow
Language:Jupyter Notebook 8
emoen / Deep-learning-for-salmon-scales
Fish scales constitute a valuable source of information about individual life histories, but correctly extracting this information requires a highly skilled expert. Here, we train a deep convolutional neural network architecture EfficientNet B4 on a set of about 9000 salmon scale images, and show that it attains good performance on predicting a set of variables used in stock management. Further, we see substantial benefits from user transfer learning with a network pre-trained on ImageNet, even if the salmon scale images are very different from those found in the data used for pre-training.
salmon-scale efficientnet-b4 cnn-classification cnn-regression machine-learning sea-age salmon-scales cnn keras tensorflow
Language:Python 3
StevenHuang2020 / FaceKeypointsRecognition
Facial key-points detection by using CNN model.
cnn-model key-points-detection cnn-regression
Language:Python 2
charangajjala / Deep_Denoise
🖼️🔄 Combine CNNs with Fourier Transform techniques to enhance image quality by effectively reducing noise in various imaging applications.
cnn-regression deep-learning denoising fourier-transform
Language:Jupyter Notebook 1
ifran-rahman / Solar_Estimation_KD
ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES
cnn-regression infrared-sky-images knowledge-distillation solar-irradiance-estimation mobilenetv2
Language:Jupyter Notebook 1
niki5659 / Gender-and-Age-Prediction
This is my first project on Github
cnn-classification cnn-regression deep-learning kaggle-datasets keras-tensorflow
Language:Jupyter Notebook 1
ifran-rahman / solar-irradiance-estimation-dl
INTRA-HOUR SOLAR IRRADIANCE ESTIMATION USING INFRARED SKY IMAGES AND MOBILENETV2-BASED CNN REGRESSION
cnn-regression mobilenetv2 infrared-sky-images solar-irradiance-estimation
Language:Jupyter Notebook 0
RoyWeiiiii / Scope_1_Digitalised-prediction-of-blue-pigment-content-from-Spirulina-platensis
The findings in the present study will be a breakthrough for the estimation of CPC concentration from S. platensis solely based on the information provided in the image without the need to perform a prior extraction process and identification of CPC concentration using analytical equipment.
ann-regession c-phycocyanin cmyk-color cnn-regression hsl-color mlp-regressor rgb-color spirulina-platensis svm-regressor
Language:Python 0
RoyWeiiiii / Scope_2_A-cutting-edge-digital-approach-for-rapid-C-phycocyanin-detection-in-Spirulina-platensis
Evaluate the robustness and performance between ML and DL models in predicting the CPC concentration under various image capturing devices, types of input image datasets, and lighting conditions. The findings in our current study can overcome the bottleneck by eliminating the need for laborious manual extraction processes and reducing the time and
cmyk cnn-regression hsl rgb spirulina-platensis svm-regressor xgboost-regressor c-phycocyanin
Language:Python 0
SenorBunBun / age_from_image
A CNN Regression Model for Predicting Age from an Image
cnn-regression keras tensorflow
Language:Jupyter Notebook 0
yein-hwang / BrainAging
Reproducing Brain Aging paper using the PyTorch libarary.
3d-cnn brain-mri-images cnn-regression python pytorch
Language:Jupyter Notebook 0
Berezniker / CV_Face_Point_Regression
Finding key points on the face
computer-vision face-recognition augmentation cnn-regression
Language:Jupyter Notebook
Dayan8554 / House-Price-Model
🏠 Predict house prices using machine learning with data cleaning, feature engineering, and regression modeling for accurate results.
advanced-machine-learning airflow cnn-regression decision-trees feature-engineering flask house-price-prediction linear-regression-models machine-learning machine-learning-projects-beginners multi-channel-cnn multiple-regression python python-flask-application randomizedsearchcv ridge-regression scikit-learn web-scraping
Language:Jupyter Notebook
devp3 / dampe-cnn
Convolutional Neural Network for trajectory regression
cnn-keras cnn-regression high-energy-astrophysics particle-physics
Language:Jupyter Notebook
giacomopiccinini / CNN
Implementation of a convolutional neural network for regression and classification tasks
cnn cnn-classification cnn-keras cnn-regression neural-network tensorflow2
Language:Python

cnn-regression

Mehrab-Kalantari / Multi-Modal-House-Price-Estimation

rsyamil / cnn-regression

edukhnai / valence-arousal-recognition

TomStog / Infrared-SpO2

ahmadsallakh / Images-Resolution-Enhancement-Usiung-CNN

emoen / Deep-learning-for-salmon-scales

StevenHuang2020 / FaceKeypointsRecognition

charangajjala / Deep_Denoise

ifran-rahman / Solar_Estimation_KD

niki5659 / Gender-and-Age-Prediction

ifran-rahman / solar-irradiance-estimation-dl

RoyWeiiiii / Scope_1_Digitalised-prediction-of-blue-pigment-content-from-Spirulina-platensis

RoyWeiiiii / Scope_2_A-cutting-edge-digital-approach-for-rapid-C-phycocyanin-detection-in-Spirulina-platensis

SenorBunBun / age_from_image

yein-hwang / BrainAging

Berezniker / CV_Face_Point_Regression

Dayan8554 / House-Price-Model

devp3 / dampe-cnn

giacomopiccinini / CNN