#c_lang #aarch64 #arduino #arm #embedded #esp32 #esp8266 #interpreter #iot #mips #risc_v #runtime #wasi #wasm #webassembly
https://github.com/wasm3/wasm3
https://github.com/wasm3/wasm3
GitHub
GitHub - wasm3/wasm3: 🚀 A fast WebAssembly interpreter and the most universal WASM runtime
🚀 A fast WebAssembly interpreter and the most universal WASM runtime - wasm3/wasm3
#swift #aarch64 #apple_silicon #augmented_reality #awesome_list #bottles #cocoapods #computer_architecture #darwin #dxvk #m1 #macos_app #macos_apps #macos_security #macos_setup #metal #optimization #profiling #swiftui #wine #wireguard
https://github.com/mikeroyal/Apple-Silicon-Guide
https://github.com/mikeroyal/Apple-Silicon-Guide
GitHub
GitHub - mikeroyal/Apple-Silicon-Guide: Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series…
Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple S...
#rust #aarch64 #arm #bsd #cargo #cross_compilation #cross_testing #linux #mips #powerpc #s390x #sparc #windows #x86
https://github.com/cross-rs/cross
https://github.com/cross-rs/cross
GitHub
GitHub - cross-rs/cross: “Zero setup” cross compilation and “cross testing” of Rust crates
“Zero setup” cross compilation and “cross testing” of Rust crates - cross-rs/cross
đź–•1
#cplusplus #aarch64 #arm #arm64 #avx2 #avx512 #c_plus_plus #clang #clang_cl #cpp11 #gcc_compiler #json #json_parser #json_pointer #loongarch #neon #simd #sse42 #vs2019 #x64
The simdjson library is very fast and efficient for parsing JSON files. It uses special computer instructions called SIMD to parse JSON up to 4 times faster than other popular parsers. Here are the key benefits Parses JSON much quicker than other libraries.
- **Easy to Use** Ensures full JSON and UTF-8 validation without losing any data.
- **Automatic Optimization** Designed to avoid unexpected errors and surprises.
Using simdjson can significantly speed up your application's performance when dealing with large amounts of JSON data.
https://github.com/simdjson/simdjson
The simdjson library is very fast and efficient for parsing JSON files. It uses special computer instructions called SIMD to parse JSON up to 4 times faster than other popular parsers. Here are the key benefits Parses JSON much quicker than other libraries.
- **Easy to Use** Ensures full JSON and UTF-8 validation without losing any data.
- **Automatic Optimization** Designed to avoid unexpected errors and surprises.
Using simdjson can significantly speed up your application's performance when dealing with large amounts of JSON data.
https://github.com/simdjson/simdjson
GitHub
GitHub - simdjson/simdjson: Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse…
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks - simdjson/simdjson
#cplusplus #aarch64 #android #arm32 #asr #cpp #csharp #dotnet #ios #lazarus #linux #macos #mfc #object_pascal #onnx #raspberry_pi #risc_v #speech_to_text #text_to_speech #vits #windows
This tool supports various speech functions like speech recognition, text-to-speech, speaker identification, and more. It works on multiple platforms including Android, iOS, Windows, macOS, and Linux, and supports several programming languages such as C++, Python, JavaScript, and others. You can use it locally or through web assembly, making it versatile and convenient. This benefits you by allowing you to integrate advanced speech capabilities into your projects easily, regardless of the platform or programming language you use.
https://github.com/k2-fsa/sherpa-onnx
This tool supports various speech functions like speech recognition, text-to-speech, speaker identification, and more. It works on multiple platforms including Android, iOS, Windows, macOS, and Linux, and supports several programming languages such as C++, Python, JavaScript, and others. You can use it locally or through web assembly, making it versatile and convenient. This benefits you by allowing you to integrate advanced speech capabilities into your projects easily, regardless of the platform or programming language you use.
https://github.com/k2-fsa/sherpa-onnx
GitHub
GitHub - k2-fsa/sherpa-onnx: Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD…
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Andr...