Closes #2995. ## Summary `_call_protocol_parse_service` (used by `parse_docling` and `parse_mineru`) hardcoded the multipart field name as `"file"` and shipped Docling defaults that did not match the official [docling-serve API](https://doc
Implement per-role LLM function separation as specified in #2741 Each role (extract, keyword, query) gets its own independently wrapped LLM function with a dedicated concurrency queue, enabling fine-grained control over model selection, con
References #5 - Implemented voice based banking with mock database and mock users. - Added test-cases and detailed documentation for setting up the project. - Added voice biometric authentication using Gaussian Mixture Models with MFCC feat
Pull Request resolves #45679 - [ x ] I read the [Generative AI policy](https://developer.joomla.org/generative-ai-policy.html) and my contribution is either not created with the help of AI or is compatible with the policy and GNU/GPL 2 or l
## Summary This PR migrates `SemanticChunker` into `langchain-text-splitters` and aligns behavior for production use, including backward compatible initialization, deterministic threshold validation, and exact source span chunk assembly for
## Description Added page-Level tracking and citation. Now the references from the retrieval shows the exact page/range of pages from which the chunk was retrieved. <img width="451" height="71" alt="image" src="https://github.com/user-attac
closes #2 add .gitignore file to exclude unnecessary files and directories
Contributes to #3931 ## Describe changes I implemented/fixed comprehensive README restructuring to highlight pipeline serving capabilities and updated examples to achieve accurate representation of ZenML's dual capability for both batch and
## Describe changes I implemented **a comprehensive README restructure** to achieve **better alignment with ZenML's pipeline serving capabilities and accurate representation of the updated examples**. The changes include: - **Added prominen
Fixes #81 Added Top Loading Bar to both the Search and Send buttons SearchBar - Set progress to 30% on submit click Set progress to 100% after calling handleFormSubmit Twilio - Set progress to 30% on form submit Set progress to 60% during A
# Description Modified the __call__ method to accept **kwargs as a parameter. This will allow any additional keyword arguments to be passed to the method. You can then include these extra arguments when calling the interp method of the _xr_
Fixes #1 Changed the images in Readme.md for testing the ML Model/Platform. Changes, Improvements, Suggestions are appreciated for further design developements
Users can skip the re-installation of the build-time components if already present but still factor in the cases where it is necessary for them to reinstall for debugging purposes. The key aspects are: -Checking for existing Sundials and KL
To #10563 Implemented a new function, read_image(), to read PNG images from file without OpenCV. RGB values for each pixel are stored in a nested list. Updated peak_signal_to_noise_ratio() to directly use the nested list instead of NumPy ar
Fixes #9528 * [ ] Add an algorithm? * [x] Fix a bug or typo in an existing algorithm? * [ ] Documentation change? ### Checklist: * [x] I have read [CONTRIBUTING.md](https://github.com/TheAlgorithms/Python/blob/master/CONTRIBUTING.md). * [x]
Fixes #9598 The MLP class implements a simple feedforward neural network for classification. It has an input layer, a hidden layer with a tanh activation, and an output layer. The init() method initializes the weight matrices and bias vecto
# Description Users can skip the re-installation of the build-time components if already present but still factor in the cases where it is necessary for them to reinstall for debugging purposes. The key aspects are: -Checking for existing S
Fixes #3303 The key changes: - Use .get() instead of direct indexing to handle cases where the key is missing - Check if the value is a tuple using isinstance() - If it's a tuple, use the first index - Handle lithium plating the same way #
### Describe your change: Fixes https://github.com/TheAlgorithms/Python/issues/9188 This implements random search with cross-validation for hyperparameter tuning in Python. The key differences from grid search CV are: - Instead of iterating
Fixes #9188 This implements random search with cross-validation for hyperparameter tuning in Python. The key differences from grid search CV are: - Instead of iterating through a grid of all combinations, it randomly samples hyperparameters