NeuroFlex is an AI platform for flexible and scalable neurnetwork & neuroscience training and optimization, supporting advanced model development and deployment.
Update README.md and documentation with project structure and contents.
Updated neuroflex-env-setup.md with improved setup instructions and best practices.
Ensured compatibility and optimal performance in the environment setup guide.
Added additional notes on using a .env file, updating dependencies, and following Python development best practices.
Enhancements:
Developed an innovative federated learning system with decentralized training and personalized models.
Implemented federated averaging, secure aggregation, and differential privacy for improved security and privacy.
Addressed current limitations in federated learning and explored new paradigms in distributed AI for edge devices.
Enhanced neuromorphic computing with advanced spiking neural networks and brain-inspired architectures, pushing the boundaries of bio-inspired AI in edge environments.
Implemented a sophisticated adaptive learning system that optimizes model performance based on real-time edge device constraints, using JAX and Flax for efficient computation.
Update README.md and documentation with project structure and contents.
neuroflex-env-setup.mdwith improved setup instructions and best practices..envfile, updating dependencies, and following Python development best practices.Enhancements:
This Devin run was requested by kasinadhsarma.