Search Results for "brain training"
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Showing 21 open source projects for "brain training"
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TRIBE v2
A multimodal model for brain response prediction
TRIBE v2 is a multimodal foundation model developed by Meta AI for predicting human brain activity from naturalistic stimuli such as video, audio, and text. It is designed for in-silico neuroscience, enabling researchers to model how the brain responds to complex real-world inputs. The system integrates state-of-the-art encoders—including LLaMA for text, V-JEPA for video, and Wav2Vec-BERT for audio—into a unified Transformer architecture. This combined representation is mapped onto the... -
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second-brain-ai-assistant-course
Learn to build your Second Brain AI assistant with LLMs
The Second Brain AI Assistant Course is an open-source educational project designed to teach developers how to build a personal AI assistant that interacts with a user’s knowledge base. The course provides a structured curriculum that walks learners through the architecture and implementation of a production-ready AI system powered by large language models. The concept of a “second brain” refers to a personal knowledge repository containing notes, research, and documents that can be queried... -
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LingBot-VLA
A Pragmatic VLA Foundation Model
LingBot-VLA is an open-source Vision-Language-Action (VLA) foundational AI model designed to serve as a general “brain” for real-world robotic manipulation by grounding multimodal perception and language into actionable motions. It has been pretrained on tens of thousands of hours of real robotic interaction data across multiple robot platforms, which enables it to generalize well to diverse morphologies and tasks without needing extensive retraining on each new bot. -
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snntorch
Deep and online learning with spiking neural networks in Python
...Spiking neural networks are biologically inspired models that communicate through discrete spike events rather than continuous activation values, making them closer to how neurons operate in the brain. The library extends PyTorch’s tensor computation capabilities to support gradient-based learning for networks composed of spiking neurons. This allows researchers to train spiking neural models using familiar deep learning workflows while taking advantage of GPU acceleration and automatic differentiation. snnTorch provides implementations of common spiking neuron models, surrogate gradient training methods, and utilities for handling temporal neural dynamics. ... -
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type-challenges
Collection of TypeScript type challenges with online judge
...Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type system. The repository includes tests for each puzzle so you get immediate, compiler-driven feedback when your solution is correct. As a result, it doubles as both training material and a living reference for advanced patterns used in real libraries. ... -
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Pal
A personal context-agent that learns how you work
...Over time, the agent learns from interactions, remembers patterns that worked well, and applies those learnings to similar tasks in the future, allowing it to improve without requiring additional model training. -
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Parallel and Distributed Process System
OmniSim simulates parallel and distributed processing systems
Parallel and Distributed Process OmniSim Computational Neuroscience: Large-scale neural population dynamics, brain-inspired computing architectures, and neuro-symbolic AI systems 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for... -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
...It includes reference implementations for key MRI reconstruction architectures such as U-Net and Variational Networks (VarNet), along with example scripts for model training and evaluation using the PyTorch Lightning framework. The project also releases several fully anonymized public MRI datasets, including knee, brain, and prostate scans. -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. ... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Bend My Ear
Easy Training for The Hearing Impaired
Bend My Ear is a copy of the sentences module from the PC version Angel Sound. angelsound.tigerspeech.com Angel has created all it's other Apps on Iphone and Ipad. I decided to transfer the Sentences Module to run on the Android Operating System. I have added 3 background sounds and the ability to use the original sound recordings or use the sound provided by the default voice on the Phone. The idea is to provide the ability to do some Rehab whenever You have a spare moment and your... -
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Trax
Deep learning with clear code and speed
...Trax has bindings to a large number of deep learning datasets, including Tensor2Tensor and TensorFlow datasets. You can use Trax either as a library from your own python scripts and notebooks or as a binary from the shell, which can be more convenient for training large models. It runs without any changes on CPUs, GPUs and TPUs. -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
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ufov
Enhance useful field of view, speed of responsiveness, brain exerciser
Python and pygame cross platform program to exercise the brain with the intention of enhancing useful field of view, also known as speed of responsiveness. This yields benefits in driving, motility, and even depressive symptoms, as described in research papers of randomized, double blind trials. Whether ufov exercise the brain to yield those benefits is unknown, since there are no research studies using it. The research is conducted with a commercial product that I have not seen or... -
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ToMarPentathlon
Five games in one level-based brain-training package.
ToMar Pentathlon is an application that runs on your Windows PC or Mac. It is five games in one, and it helps you sharpen your wits level by level. You solve five puzzles each level. There are no time limits; take as long as you like. There's no such thing as cheating; solve the puzzles any way you can -- we give you the tools to do it! -
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NeuroRazer-ESPAÑOL
NeuroRAZER es un juego creado para mejorar el desarrollo cognitivio.
...El original(con C) (The Gazzaley Lab) es el resultado de la investigación realizada por un grupo de científicos de la Universidad de California, publicada en la revista científica británica Nature. Según sus estudios los juegos de Brain-Training no cumplen este cometido y su uso no mejora estas capacidades si no que hacen que el jugador mejore solo a nivel de práctica en esos juegos concretos. Los investigadores desarrollaron un videojuego con el que se puede medir y reparar el deterioro neuronal relacionado con el envejecimiento. Se trata de controlar un vehículo en el que el jugador podría tener una única tarea o varias al mismo tiempo. ... -
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Sentences calculator
Sentences calculator for brain training
OpenOffice extension, which displays the result of a document sentences, in the purpose to practice the kind of brain training described in http://fr.wikiversity.org/wiki/Recherche:Les_chemins_du_langage. -
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This software is an experimental visual file reader, useful e.g. for people interested in speed-reading and brain-training.
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JNP Timer is a simple & powerful brain training tool to improve your ability to focus on tasks and prevent distractions and procastination. It is inspired in techniques such as the Pomodoro technique and Time Boxing.
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