A Fast and Safe Python based on PyPy
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Updated
Aug 6, 2023 - Python
A Fast and Safe Python based on PyPy
Final Year Project @hku Department of Computer Science | HGFRR includes a new peer-to-peer network protocol that improves communication efficiency and security among peers, and an implementation of a fast, secure blockchain system on top of this P2P network.
The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing and fine-tuning for enterprise AI. GPU network provisioning is currently in the planning stage.
Device plugin for Kubernetes that enables the usage of Intel SGX in pods.
Privacy preserving machine learning demo using TensorFlow, running as an sgx-enclave with Gramine, orchestrated by MarbleRun
SCONE SGX Experiment
Library for MSE to bootstrap ASGI/WSGI application
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