Search Results for "data mining project with code"

...Rather than trying to replicate every feature of a full CRM suite, it focuses on core workflows like capturing leads, tracking stages, logging interactions, and generating reminders or alerts for follow-ups so that users spend more time building relationships and less time navigating interface complexity. Built with simplicity and extensibility in mind, the project includes REST APIs, database models, and a user interface that can be extended or embedded into existing internal systems. Because it prioritizes lean data structures and predictable code paths, developers can customize pipelines, fields, and behaviors to align with their unique business logic.

AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code.

The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. ...

NOTE: As of r816, Nucleus source code is licensed under GPLv3. (8th Oct 2017) Nu|cleus [ˈnjuːklɪəs] - The central and most important part of an object, movement, or group, forming the basis for its activity and growth. This is yet another long-term project (YALP?). The aim is to write a portable GUI/OS for Atari ST, Amiga and DOS. The code must be small, fast and support modern GUI features. ie: Embedded component controls. The code current compiles with Highspeed Pascal (Atari ST)...

Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). ...

That project aims at providing a clean API, and the corresponding C++ implementation, for choosing one item among a set of travel solutions, given demand-related characteristics (e.g., Willingness-To-Pay, preferred airline, preferred cabin, etc.).

TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml