Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
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Updated
Oct 31, 2025 - C
Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
Interfacing the ESP32c3 microcontroller with an ArduCAM-M-2MP Camera Shield 2MP SPI Camera to perform image processing and computer vision
A quantized TensorFlow Lite–based real-time object detection system on ESP32-CAM, optimized with the EON™ Compiler for low-latency, low-memory, and portable AI-IoT deployment.
Code and resources for the paper: "Cognitive Radio Spectrum Sensing on the Edge: A Quantization-Aware Deep Learning Approach"
Lossy PNG compressor — pngquant command based on libimagequant library
off the charts color quantization 🎨
Code and resources for the paper: Real-Time Student Engagement Monitoring on Edge Devices: Deep Learning Meets Efficiency and Privacy
Neural Network C is an advanced neural network implementation in pure C, optimized for high performance on CPUs and NVIDIA GPUs.
🎨 Convert images to 15/16-bit RGB color with dither
Extremely fast color quantization. Reduce color information of a 24-bit RGB bitmap down to 8-bit.
[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 256KB Memory
kotlin api wrapper for llm-inference chatllm.cpp
V-lang api wrapper for llm-inference chatllm.cpp
Nim api-wrapper for llm-inference chatllm.cpp
Bird Audio Detection using FPGA
Color quantization/palette generation for png images
Clean C language version of quantizing llama2 model and running quantized llama2 model
Uniform quantizer that uses mexCallMATLAB to call different MATLAB commands and plot the results
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