uTensor
areg-sdk
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| uTensor | areg-sdk | |
|---|---|---|
| 1 | 21 | |
| 1,645 | 238 | |
| 1.3% | - | |
| 2.2 | 8.6 | |
| 7 days ago | about 1 month ago | |
| C++ | C++ | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
uTensor
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[D] why isn't converting ML Models to plain code trivial?
Random example, more stuff. My comments are more of baking models into c(pp) code which is not what cppflow does but probably what you are actually looking for.
areg-sdk
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Essentials of Object Oriented and Functional Programming: A Guide to Modular Code
FP Libraries: gRPC, ZeroMQ, and AREG are examples of libraries with a special focus on providing possibilities for Interprocess Communication. Developed using C++, they facilitate communication through predefined APIs, emphasizing functional programming concepts.
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How to find a suitable topic at GitHub to contribute?
In addition, if the owners of the repositories add more relevant and precise labels to the issues, it increases the possibility that the OSS developers find the issues they would loved to resolve. For example, the issues of AREG SDK which marked "help wanted" in addition have such labels like "C++" or "cmake", "unit test", etc.
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Makefile versus CMake build system
My closer introduction with these 2 tools started from OSS areg sdk project. Because of some experienced friend recommendation, i started with make. The main reason was that it is more spread in embedded. No other weighty argument they had. After having make, i decided to integrate cmake. Suddenly i figured out that cmake for me is more understandable and powerful. It already has many features that makes things easier. The biggest advantage for me is that in comparison to make / Makefile, lot of IDE support build with cmake. The cross-platform / cross-compile for areg-sdk is important feature, and this is easier to achieve with cmake. For example, I can compile with make under Linux with gcc/clang, but under windows can compile in cygwin environment and not with MSVC, which is not the issue in case of cmake.
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Your fun software projects
Project: AREG is a cross-platform interface-centric lightweight communication engine, which forms a grid of services in the IoT fog- and mist-network, automates the real-time transmission of data between multiple connected software nodes, so that the connected Things interact like a thin distributed servers and clients. Technologies: C/C++17, standard library dependencies, POSIX and Win32 API. Can be used in real product.
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How abut open source projects?
Nice. I also have own project, but it already requires much time, so that cannot join in other projects. As well, up to now have no dependencies, except standard system libraries. I think, we should have a separate post to share projects and give short description. Some might be interested to join.
- Cross-platform IPC engine that automates real-time data transmission between connected processes, allowing them to interact like a distributed services
- Distributed services programming for Embedded, IoT edge and desktop applications
- Interface-centric Object RPC (ORPC) engine for embedded and desktop
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ncurses and POSIX
Here I've crated a list of API that use in the project. Some of methods are part of ncurses.h. So I have a questions:
What are some alternatives?
ESP32-S2-S3-Projects - Using the native USB interface of ESP32 S2/S3
iceoryx - Eclipse iceoryx™ - true zero-copy inter-process-communication
EmbeddedProto - Embedded Proto is a C++ Protocol Buffers implementation specifically suitable for microcontrollers. It is small, reliable and easy to use.
nanomsg - nanomsg library
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
zenoh - zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
erpc - Embedded RPC
blynk-library - Blynk library for IoT boards. Works with Arduino, ESP32, ESP8266, Raspberry Pi, Particle, ARM Mbed, etc.
zmesh - Marching Cubes & Mesh Simplification on multi-label 3D images.