Techfolio
Trending New Technologies Demos by Camelia Ciolac
Category Tensorflow
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category CENTER-NET
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category Human Pose Keypoints
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category OpenCV
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category Instance Tracking
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category FFMPEG
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category Computer Vision
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
In this mini-projet, we use Google’s MediaPipe framework as well as a pretrained Tensorflow Lite model to predict the face mesh given an image of a mascaron (sculptured keystone). We...
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
Category MASK R-CNN
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...
Category Instance Segmentation
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...
Category HDBSCAN
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...
Category ColorThief
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...
Category TFLite
In this mini-projet, we use Google’s MediaPipe framework as well as a pretrained Tensorflow Lite model to predict the face mesh given an image of a mascaron (sculptured keystone). We...
Category FaceMesh
In this mini-projet, we use Google’s MediaPipe framework as well as a pretrained Tensorflow Lite model to predict the face mesh given an image of a mascaron (sculptured keystone). We...
Category 3D
In this mini-projet, we use Google’s MediaPipe framework as well as a pretrained Tensorflow Lite model to predict the face mesh given an image of a mascaron (sculptured keystone). We...
Category Pyvista
In this mini-projet, we use Google’s MediaPipe framework as well as a pretrained Tensorflow Lite model to predict the face mesh given an image of a mascaron (sculptured keystone). We...
Category image salient points
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
Category image local descriptors
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
Category RANSAC
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
Category similarity
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
Category Siamese Net
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category ResNet50
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category Embeddings
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category Lambda Layer
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category Custom Callback
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category TF Dataset
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category Triplet Net
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category Custom Loss
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category Annoy index
In this mini-project we train a Tensorflow model to identify the architectural style of a church facade. Initially we include three styles :
Category DeepLab
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
Category Image Segmentation
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
Category Confidence heatmap
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
Category webscraping
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
Category MongoDB
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
Category declarative ML
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category custom Callbacks
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category Keras Tuner
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category tf.data
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category tf.feature_column
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category tabular data
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category Optunity
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category CatBoost
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category Image classification
In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
Category NLP
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category Spacy
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category AllenNLP
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category WordNet
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category BabelNet
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category BERT
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category Node2Vec
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category SupWSD
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category Part-of-speech
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category NetworkX
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category SPARQL
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category RDF
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category Blazegraph
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category GCP
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
Category NER
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
Category Word2Vec
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
Category Gensim
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
Category Doccano
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
