SchibstedSpain/Protein
💊 Protein is a Kotlin code generator for Retrofit 2 and RxJava 2 based on Swagger
Language: Kotlin
#android #android_studio #android_studio_plugin #codegen #codegenerator #intellij_idea #intellij_plugin #javapoet #kotlin #kotlin_android #kotlin_language #kotlinpoet #plugin #reactivex #retrofit2 #rxjava2 #swagger #swagger_codegen
Stars: 107 Issues: 3 Forks: 2
https://github.com/SchibstedSpain/Protein
💊 Protein is a Kotlin code generator for Retrofit 2 and RxJava 2 based on Swagger
Language: Kotlin
#android #android_studio #android_studio_plugin #codegen #codegenerator #intellij_idea #intellij_plugin #javapoet #kotlin #kotlin_android #kotlin_language #kotlinpoet #plugin #reactivex #retrofit2 #rxjava2 #swagger #swagger_codegen
Stars: 107 Issues: 3 Forks: 2
https://github.com/SchibstedSpain/Protein
GitHub
GitHub - AdevintaSpain/Protein: 💊 Protein is an IntelliJ Plugin to generate Kotlin code for Retrofit 2 and RxJava 2 based on a…
💊 Protein is an IntelliJ Plugin to generate Kotlin code for Retrofit 2 and RxJava 2 based on a Swagger definition - GitHub - AdevintaSpain/Protein: 💊 Protein is an IntelliJ Plugin to generate Kotli...
mit-han-lab/tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; MCUNetV3: On-Device Training Under 256KB Memory
Language: C
#c #codegenerator #cpp #deep_learning #microcontroller #pytorch #tinyml
Stars: 170 Issues: 0 Forks: 9
https://github.com/mit-han-lab/tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; MCUNetV3: On-Device Training Under 256KB Memory
Language: C
#c #codegenerator #cpp #deep_learning #microcontroller #pytorch #tinyml
Stars: 170 Issues: 0 Forks: 9
https://github.com/mit-han-lab/tinyengine
GitHub
GitHub - mit-han-lab/tinyengine: [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient…
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2...