Alternatives and similar repositories for AutoFlow

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

• EEESlab / CMSIS_NN-INTQ
  INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
  ☆18Updated 5 years ago
• cpetig / tflite_micro_compiler
  generate tflite micro code which bypasses the interpreter (directly calls into kernels)
  ☆80Updated 2 years ago
• pulp-platform / quantlib
  A library to train and deploy quantised Deep Neural Networks
  ☆24Updated 6 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆127Updated last year
• ARM-software / ML-zoo
  ☆231Updated 2 years ago
• mlcommons / tiny
  MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆414Updated 2 weeks ago
• pulp-platform / pulp-trainlib
  Floating-Point Optimized On-Device Learning Library for the PULP Platform.
  ☆34Updated last month
• pulp-platform / dory
  A tool to deploy Deep Neural Networks on PULP-based SoC's
  ☆80Updated 4 months ago
• tum-ei-eda / muriscv-nn
  muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.
  ☆79Updated 2 weeks ago
• areusch / microtvm-blogpost-eval
  ☆29Updated 4 years ago
• xmos / ai_tools
  AI applications and tools
  ☆29Updated 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
• foss-for-synopsys-dwc-arc-processors / embarc_mli
  Machine learning inference library for ARC EM and HS Processors
  ☆29Updated 4 months ago
• pulp-platform / nemo
  NEural Minimizer for pytOrch
  ☆43Updated 11 months ago
• edgeimpulse / inferencing-sdk-cpp
  Portable C++ library for signal processing and machine learning inferencing
  ☆92Updated 2 weeks ago
• pulp-platform / fann-on-mcu
  ☆31Updated 5 years ago
• tum-ei-eda / mlonmcu
  Tool for the deployment and analysis of TinyML applications on TFLM and MicroTVM backends
  ☆35Updated last week
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆80Updated 4 years ago
• analogdevicesinc / ai8x-training
  Model Training for ADI's MAX78000 and MAX78002 Edge AI Devices
  ☆104Updated 2 weeks ago
• eembc / mlmark
  EEMBC's Machine-Learning Inference Benchmark targeted at edge devices.
  ☆48Updated 3 years ago
• hasanunlu / neural_network_deployment_for_uC
  Efficient neural network deployment for uC using pytorch model
  ☆32Updated 5 years ago
• ekut-es / pico-cnn
  Lightweight C implementation of CNNs for Embedded Systems
  ☆61Updated 2 years ago
• eml-eda / plinio
  A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networks
  ☆41Updated last week
• antmicro / litex-vexriscv-tensorflow-lite-demo
  TF Lite demo on LiteX/VexRiscv soft RISC-V SoC on a Digilent Arty board
  ☆67Updated 2 years ago
• erendn / pytorch-compression-for-mcu
  Deep Compression for PyTorch Model Deployment on Microcontrollers
  ☆19Updated 4 years ago
• eembc / energyrunner
  The EEMBC EnergyRunner application framework for the MLPerf Tiny benchmark.
  ☆19Updated 2 years ago
• Hahn-Schickard / Automatic-Structured-Pruning
  We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models
  ☆28Updated 7 months ago
• maltanar / qnn-inference-examples
  Jupyter notebook examples on image classification with quantized neural networks
  ☆69Updated 5 years ago
• kunglab / ebnn
  Header-only C library for Binary Neural Network Feedforward Inference (targeting small devices)
  ☆47Updated 3 years ago
• jonnor / embeddedml
  Notes on Machine Learning on edge for embedded/sensor/IoT uses
  ☆276Updated this week