Search Results for "python neural" - Page 10

Artificial Intelligence program - keyword based chat, personal voice in/out, animated 3D character, natural language recognition and translation, neural network based strong AI, personality, tone recognition

A small 3d engine for making virtual characters. Includes a simple GUI interface for building a character with physics and procedural animation using neural networks. Developers can use the engine library to make simple games or to run simulations.

The Freeway Traffic Smoothing Neural Network program uses a neural network to smooth freeway traffic by sensing average freeway traffic speeds at various points along a freeway and adjusting the settings of variable speed limit signs accordingly.

We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".

Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.

oddioToolz (oz) aims to be a modular audio IDE geared toward realtime audio synthesis, manipulation, quantization, sequencing, interaction and the exchange of sound/modules/meta over computer and neural networks worldwide. oz needs help e-mail a dev!

A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.

Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.

NeuroPython is a Python module created for easy simulation of neural networks.

The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.

Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of interest, in real-time. The end-to-end platform for embedding private voice AI into any software in a few lines of code. Design with no limits on top of a modular platform. Create use-case-specific voice AI models in seconds. Develop voice features with a few lines of code using intuitive and cross-platform SDKs. Deliver voice AI everywhere: on-device, mobile, web browsers,...

ptsa (pronounced pizza) is a Python module for performing time series analysis. Although it is specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), the code should be applicable to almost any type of time series.

mozg is a flexible, fast neurolibrary. It allows one to create, learn and use multi-layer perceptron (MLP), which is the most popular artificial neural network (ANN). This work is based on library originally written by Alexy Filin.

Actual Comparison System(nick name epitaph) - a list processing tool that is based on a neural network so that you can fill in information lost or generate new information.

a distributed engine for abstract neural network development via natural-language programming

ControlNet is a neural network architecture that enhances Stable Diffusion by enabling image generation conditioned on specific visual structures such as edges, poses, depth maps, and segmentation masks. By injecting these auxiliary inputs into the diffusion process, ControlNet gives users powerful control over the layout and composition of generated images while preserving the style and flexibility of generative models. It supports a wide range of conditioning types through pretrained modules...

The voice-activity-detection model by pyannote is a neural pipeline for detecting when speech occurs in audio recordings. Built on pyannote.audio 2.1, it identifies segments of active speech within any audio file, making it valuable for preprocessing tasks like transcription, diarization, or voice-controlled systems. The model was trained using datasets such as AMI, DIHARD, and VoxConverse, and it requires users to authenticate via Hugging Face for access. To use the model, users must accept...