A 3D Dense mapping backend library of SLAM based on taichi-Lang designed for the aerial swarm

TaichiSLAM This project is a 3D Dense mapping backend library of SLAM based Taichi-Lang, designed for the aerial swarm. Taichi is an efficient domain-specific language (DSL) designed for computer graphics (CG), which can be adopted for high-performance computing on mobile devices. Thanks to the connection between CG and robotics, we can adopt this powerful tool to accelerate the development of robotics algorithms. In this project, I am trying to take advantages of Taichi, including parallel optimization, sparse computing, advanced data […]

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Python library for Junos automation

py-junos-eznc The repo is under active development. If you take a clone, you are getting the latest, and perhaps not entirely stable code. Junos PyEZ is a Python library to remotely manage/automate Junos devices. The user is NOT required: (a) to be a “Software Programmer™”, (b) have sophisticated knowledge of Junos, or (b) have a complex understanding of the Junos XML API. For “Non-Programmers” – Python as a Power Shell This means that “non-programmers”, for example the Network Engineer, can […]

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A C-like hardware description language adding HLS-like automatic pipelining

PipelineC A C-like(1) hardware description language (HDL)(2) adding HLS(high level synthesis)-like automatic pipelining(3) as a language construct/compiler feature. Not actually regular C. But mostly compileable by gcc for doing basic functional verification/’simulation’.This is for convenience as a familiar bare minimum language prototype, not as an ideal end goal. Reach out to help develop something more complex together! Can reasonably replace Verilog/VHDL. Compiler produces synthesizable and human readable+debuggable VHDL. Hooks exist for inserting raw VHDL / existing IP / black boxes. […]

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Explore Your Dataset With Pandas

Do you have a large dataset that’s full of interesting insights, but you’re not sure where to start exploring it? Has your boss asked you to generate some statistics from it, but they’re not so easy to extract? These are precisely the use cases where Pandas and Python can help you! With these tools, you’ll be able to slice a large dataset down into manageable parts and glean insight from that information. In this course, you’ll learn how to: Calculate […]

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