Search Results for "bootstrap-select" - Page 3

...Build and launch using the instructions. Click 'Change default saved annotation folder' in Menu/File. Click 'Open Dir'. Click 'Create RectBox'. Click and release left mouse to select a region to annotate the rect box. You can use right mouse to drag the rect box to copy or move it. The annotation will be saved to the folder you specify. You can refer to the hotkeys to speed up your workflow.

...GPS Location configuration. Search & spin Pokestops / Gyms. Diverse options for humanlike behavior from movement to overall game play. Ability to add multiple coordinates to select between your favorite botting locations. Support self defined path / route. Advanced catch, evolve and transfer confuration using our PokemonOptimizer settings. Determine which pokeball to use. Rules to determine the use of Razz and Pinap Berries. Exchange, evolve and catch Pokemon base on pre-configured rules. Transfer Pokemon in bulk. ...

Retrieval-Based Conversational Model in Tensorflow is a project implementing a retrieval-based conversational model using a dual LSTM encoder architecture in TensorFlow, illustrating how neural networks can be trained to select appropriate responses from a fixed set of candidate replies rather than generate them from scratch. The core idea is to embed both the conversation context and potential replies into vector representations, then score how well each candidate fits the current dialogue, choosing the best match accordingly. Designed to work with datasets like the Ubuntu Dialogue Corpus, this codebase includes data preparation, model training, and evaluation components for building and assessing dialog models that can handle multi-turn conversations.

It gives facility of collecting tweets through Twitter Streaming API w.r.t different search criteria and to save tweets in CSV and ARFF (WEKA) file formats.

...To overcome the limitations of class-imbalanced data, we split the dataset using a random sub-sampling to balance them. Then, we apply the (alpha,beta)-k feature set method to select a better subset of features and combine their outputs to get a consolidated feature set for classifier training. To enhance classification performances, we propose an ensemble of classifiers that combine the classification outputs of base classifiers using the simplest and largely used majority voting approach. Instead of creating the ensemble using all base classifiers, we have implemented a genetic algorithm (GA) to search for the best combination from heterogeneous base classifiers. ...

It is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. With a four step approach, DBpedia Spotlight performs named entity extraction, including entity detection and name resolution. It can also be used for named entity recognition, amongst other information extraction tasks. Empower the user experience reusing, interlinking and making semantic queries...

Clustering Variation looks for a good subset of attributes in order to improve the classification accuracy of supervised learning techniques in classification problems with a huge number of attributes involved. It first creates a ranking of attributes based on the Variation value, then divide into two groups, last using Verification method to select the best group.

...It relies on a central authentication system for user authentication, a dictionary service (Wordpower) and an authority file service (Conceptpower). Quadriga can connect to a DSpace repository, allowing users to select items stored in the repository for annotation. Quadriga can use standard graphs to map quadruples onto conventional semantic graphs that can be submitted to a triple store, and used for interactive websites and visualizations.

Presentation of pathfinding algorithms Howto: 1. Create Map (manual or use Map -> Rapid Deployment) 2. Select start point 3. Select end point 4. Choose alg 5. Click Path -> Find

...The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. ...

'Text to Voice' or 'Text to Speech' is 1 of the coolest Firefox add-ons. It gives ur brwsr the pwr of speech. Select txt, clck the bttn on the bttm rite & this add-on spks the selectd txt 4 u. Isn't it brllant? Moreovr odio file cn b dnloaded as

Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.

Cerberus is a First Person Shooter Game that incorporates machine learning techniques. The game utilizes Neural Networks to control fighting behavior and Reinforcement Learning to select high level tactics.

jCaBaRe is a easy to use and easy to extend Case Based Reasoning API for Java. You can select features of a case (attributes of a Java object), give weights to each one and retrieve a collection of similar cases in a given threshold.

...It can integrate exogenous variables, static categorical features, and perform channel-mixing for richer multivariate forecasting. The get_model() utility makes it easy to auto-select the best TTM model for specific context and prediction lengths. These models significantly outperform benchmarks like Chronos, GPT4TS, and Moirai while demanding a fraction of the compute.