glaze
DynaMix
glaze | DynaMix | |
---|---|---|
18 | 3 | |
894 | 657 | |
- | - | |
9.9 | 6.7 | |
6 days ago | about 2 months ago | |
C++ | C++ | |
MIT License | MIT License |
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glaze
- [C++20] to_tuple with compile-time names
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More helpful reflection in Glaze for GCC and Clang (MSVC please take note)
Previously in the Glaze library, you would need to write out your key names along with the member object pointers. However, as of version 1.8.0, these key names are now optional. If the keys are not provided the member variable name will be reflected for serialization/deserialization. I'm even more excited about this reflection than the previously announced pure Clang reflection, because it works well with user customization and supports non-aggregate, non-default constructible, and non-constexpr types.
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Efficient Versatile Encoding (EVE) - A new, extremely fast binary data format
BEVE fully supports JSON messages. The Glaze C++ JSON library allows users to use the same API to encode/decode to either JSON or EVE binary. Glaze also encodes/decodes directly into your C++ structures and standard library containers, making it easy to use without additional copies.
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How to arrange a bunch of variables into one array of bytes in memory?
I would either look at https://github.com/eyalz800/zpp_bits or https://github.com/stephenberry/glaze. FYI, glaze both supports json and binary.
- [Cpp] Nouvelle bibliothèque JSON la plus rapide pour C ++ 20
- DynaMix 2.0.0 Released
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Full source code of Glaze is leaked. I'm curious if someone with knowledge is able to reverse engineer this techinque for enhanced model training with minial style interference.
Glaze is a software that uses artificial intelligence to create realistic images from text descriptions. It is based on Stable Diffusion, an open source framework for image synthesis using diffusion models. Glaze claims to offer enhanced model training with minimal style interference by using a technique called ControlNet1.
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enum_name (yet another enum to/from string conversion utility >=C++11)
I ended up adopting this approach in some test code https://godbolt.org/z/GKW8Preva when I was thinking about adding automatic enum serialization/deserialization to stephenberry/glaze. But there are too many limitations.
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Help Needed Regarding "conversion of endianness" while binary-serializing files
Alternatively, use a preexisting library for binary serialization and deserialization. If you’re trying to serialize your own stuff, glaze is a good option since it supports both json and binary serialization/deserialization. https://github.com/stephenberry/glaze
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Glaze JSON library version 1.0 release
This parse file has some of the chunk simd processing: https://github.com/stephenberry/glaze/blob/main/include/glaze/util/parse.hpp
DynaMix
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DynaMix 2.0.0 Released
The thing is, that if something can be done with vanilla C++ polymorphism, virtual functions and inheritance, the DynaMix equivalent will look clunky and bloated. For example, you can see the exact same thing implemented with virtual functions and inheritance, with std::function and with DynaMix in the unicast benchmark
- vector of objects
What are some alternatives?
json - A C++11 library for parsing and serializing JSON to and from a DOM container in memory.
Serial Communication Library - Cross-platform, Serial Port library written in C++
benchmarks - Some benchmarks of different languages
American Fuzzy Lop - american fuzzy lop - a security-oriented fuzzer
dyno - Runtime polymorphism done right
SDS - Simple Dynamic Strings library for C
polytail - Rust-like trait-based polymorphism for C++
ZXing - ZXing ("Zebra Crossing") barcode scanning library for Java, Android
AdverseCleaner - Remove adversarial noise from images
Cppcheck - static analysis of C/C++ code
te - C++17 Run-time polymorphism (type erasure) library
RE2 - RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.