Alternatives and similar repositories for neural_network_deployment_for_uC

Users that are interested in neural_network_deployment_for_uC are comparing it to the libraries listed below

• erendn / pytorch-compression-for-mcu
  Deep Compression for PyTorch Model Deployment on Microcontrollers
  ☆19Updated 4 years ago
• ekut-es / pico-cnn
  Lightweight C implementation of CNNs for Embedded Systems
  ☆61Updated 2 years ago
• cpetig / tflite_micro_compiler
  generate tflite micro code which bypasses the interpreter (directly calls into kernels)
  ☆80Updated 2 years ago
• benja263 / Integer-Only-Inference-for-Deep-Learning-in-Native-C
  Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.
  ☆25Updated 3 years ago
• ARM-software / ML-zoo
  ☆229Updated 2 years ago
• pulp-platform / nemo
  NEural Minimizer for pytOrch
  ☆43Updated 10 months ago
• pulp-platform / dory
  A tool to deploy Deep Neural Networks on PULP-based SoC's
  ☆80Updated 3 months ago
• STMicroelectronics / stm32ai-perf
  MLPerf (tm) Tiny Deep Learning Benchmarks for STM32 devices
  ☆13Updated last year
• alrevuelta / cONNXr
  Pure C ONNX runtime with zero dependancies for embedded devices
  ☆206Updated last year
• analogdevicesinc / ai8x-training
  Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices
  ☆104Updated 2 weeks ago
• EEESlab / mobilenet_v1_stm32_cmsis_nn
  Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
  ☆87Updated 5 years ago
• areusch / microtvm-blogpost-eval
  ☆29Updated 4 years ago
• tum-ei-eda / muriscv-nn
  muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.
  ☆79Updated last week
• pulp-platform / quantlib
  A library to train and deploy quantised Deep Neural Networks
  ☆24Updated 5 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆127Updated last year
• pulp-platform / pulp-trainlib
  Floating-Point Optimized On-Device Learning Library for the PULP Platform.
  ☆34Updated 3 weeks ago
• mlcommons / tiny
  MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆410Updated this week
• mit-han-lab / iccad-tinyml-open
  [ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers
  ☆14Updated 2 years ago
• tum-ei-eda / mlonmcu
  Tool for the deployment and analysis of TinyML applications on TFLM and MicroTVM backends
  ☆34Updated this week
• Hahn-Schickard / AutoFlow
  Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implement…
  ☆52Updated 2 years ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆149Updated last week
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆100Updated 4 months ago
• EEESlab / CMSIS_NN-INTQ
  INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
  ☆18Updated 5 years ago
• analogdevicesinc / ai8x-synthesis
  Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
  ☆61Updated last week
• CEA-LIST / N2D2
  N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
  ☆155Updated 11 months ago
• pulp-platform / fann-on-mcu
  ☆31Updated 5 years ago
• mlcommons / tiny_results_v0.7
  This repository contains the results and code for the MLPerf™ Tiny Inference v0.7 benchmark.
  ☆17Updated 2 years ago
• araobp / acoustic-features
  Acoustic features (MFSCs and MFCCs) for edge AI
  ☆44Updated last year
• edgeimpulse / inferencing-sdk-cpp
  Portable C++ library for signal processing and machine learning inferencing
  ☆88Updated this week
• antmicro / kenning
  ☆67Updated last week