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Peter Pietzuch's starred repositories

mindrl

A high-performance, scalable MindSpore reinforcement learning framework.

Language:PythonApache-2.03700

jaxrenderer

Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367

Language:Jupyter NotebookApache-2.05400

intravisor

Virtualisation platform using CHERI for isolation and sharing

MIT3400

faasm

High-performance stateful serverless runtime based on WebAssembly

Language:C++Apache-2.085500

torch-quiver

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Language:PythonApache-2.028500

CubicleOS

Compartmentalised monolithic library OS

Language:LLVMMIT1900

onnx-server-openenclave

An Open Enclave port of the ONNX inference server with data encryption and attestation capabilities to enable confidential inference on Azure Confidential Computing.

Language:CMIT5300

faabric

Messaging and state layer for distributed serverless applications

Language:C++Apache-2.06000

LightSaber

Multi-core Window-Based Stream Processing Engine

Language:C++Apache-2.06900

Neptune

Neptune Execution Framework for Stream/Batch Spark Applications

Language:ScalaApache-2.0900

KungFu

Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.

Language:GoApache-2.029000

nostalgy

Keyboard productivity extension for Thunderbird

Language:JavaScriptZlib14900

linux

Linux kernel source tree

Language:CNOASSERTION78900

rkt-io

rkt-io Library OS for running Linux applications inside of Intel SGX enclaves

Language:CMIT2600

sgx-lkl

SGX-LKL Library OS for running Linux applications inside of Intel SGX enclaves

Language:CMIT25300

debs-conference.github.io

Source code for debs.org website

Language:HTML200

Crossbow

Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes

Language:JavaApache-2.05500

SysML-reading-list

Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.

26500