GitHub topics: cnn-regression
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
Language: Python - Size: 10.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Mehrab-Kalantari/Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
Language: Jupyter Notebook - Size: 6.32 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 48 - Forks: 7
devp3/dampe-cnn
Convolutional Neural Network for trajectory regression
Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 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.
Language: Python - Size: 924 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
yein-hwang/BrainAging
Reproducing Brain Aging paper using the PyTorch libarary.
Language: Jupyter Notebook - Size: 5.65 GB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
charangajjala/deep-denoise
🖼️🔄 Combine CNNs with Fourier Transform techniques to enhance image quality by effectively reducing noise in various imaging applications.
Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
TomStog/Infrared-SpO2
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
Language: Python - Size: 49.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 7 - Forks: 0
SenorBunBun/age_from_image
A CNN Regression Model for Predicting Age from an Image
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ifran-rahman/Solar_Estimation_KD
ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ifran-rahman/solar-irradiance-estimation-dl
INTRA-HOUR SOLAR IRRADIANCE ESTIMATION USING INFRARED SKY IMAGES AND MOBILENETV2-BASED CNN REGRESSION
Language: Jupyter Notebook - Size: 44.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Berezniker/CV_Face_Point_Regression
Finding key points on the face
Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
edukhnai/valence-arousal-recognition
Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 3
StevenHuang2020/FaceKeypointsRecognition
Facial key-points detection by using CNN model.
Language: Python - Size: 183 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1
rsyamil/cnn-regression
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
Language: Jupyter Notebook - Size: 4.99 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 24 - Forks: 11
giacomopiccinini/CNN
Implementation of a convolutional neural network for regression and classification tasks
Language: Python - Size: 69.3 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 928 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
