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1

Bittensor

Internet-scale Neural Networks

Bittensor is a decentralized machine learning protocol that allows AI models to collaborate, learn, and earn tokens within a global network. It introduces a blockchain-based economy for neural networks, where participants are incentivized to contribute valuable knowledge and compute power. Bittensor combines peer-to-peer learning with on-chain rewards, creating a self-governing, scalable AI system that evolves without centralized control. It is a novel approach to aligning incentives in AI...

Downloads: 0 This Week

Last Update: 2025-10-30
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2

Neural Network signal recognition rtlsdr

Deep learning signal classification (recognition) using rtl-sdr dongle

WARNING: Outdated version here. Everything has been moved to github: https://github.com/randaller/cnn-rtlsdr

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Downloads: 0 This Week

Last Update: 2017-12-18
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3

AKIRA

AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)

Downloads: 2 This Week

Last Update: 2013-03-22
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4

oddioToolz

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!

Downloads: 0 This Week

Last Update: 2013-03-27
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Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.

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