Alternatives and similar repositories for tiny-training

Users that are interested in tiny-training are comparing it to the libraries listed below

• mit-han-lab / mcunet
  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…
  ☆598Updated last year
• mit-han-lab / tinyengine
  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…
  ☆894Updated 10 months ago
• mit-han-lab / tinyml
  ☆969Updated last year
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆427Updated last month
• Arm-Examples / ML-zoo
  ☆238Updated 2 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆359Updated last year
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆81Updated 4 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆349Updated 2 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆206Updated 3 years ago
• SonySemiconductorSolutions / mct-model-optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆418Updated last week
• aztc / EtinyNet
  ☆25Updated 3 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆450Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆227Updated 3 years ago
• tianyic / only_train_once_personal_footprint
  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
  ☆310Updated last year
• ARM-software / CMSIS-NN
  CMSIS-NN Library
  ☆314Updated 2 weeks ago
• Qualcomm-AI-research / FP8-quantization
  ☆159Updated 2 years ago
• liangyn22 / MCUFormer
  [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  ☆71Updated last year
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆131Updated last year
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆539Updated last year
• ShishirPatil / poet
  ML model training for edge devices
  ☆168Updated last year
• hrcheng1066 / awesome-pruning
  ☆275Updated last year
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆277Updated 9 months ago
• Zhen-Dong / Awesome-Quantization-Papers
  List of papers related to neural network quantization in recent AI conferences and journals.
  ☆730Updated 6 months ago
• aojunzz / NM-sparsity
  ☆241Updated 2 years ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆129Updated 2 years ago
• IntelLabs / Model-Compression-Research-Package
  A library for researching neural networks compression and acceleration methods.
  ☆139Updated 3 weeks ago
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆536Updated 2 years ago
• xboot / libonnx
  A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
  ☆633Updated last month
• xxxxyu / FlexNN
  Code for ACM MobiCom 2024 paper "FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices"
  ☆53Updated 8 months ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆258Updated 2 years ago