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…
  ☆639Updated 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…
  ☆917Updated last year
• mit-han-lab / tinyml
  ☆1,064Updated 2 years ago
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆439Updated last week
• Arm-Examples / ML-zoo
  ☆248Updated 2 years ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆82Updated 4 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆362Updated last year
• alibaba / TinyNeuralNetwork
  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
  ☆862Updated 3 weeks ago
• Qualcomm-AI-research / transformer-quantization
  ☆208Updated 4 years ago
• liangyn22 / MCUFormer
  [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  ☆76Updated 2 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…
  ☆430Updated last week
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆541Updated 2 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆452Updated 2 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆355Updated 2 years ago
• tianyic / only_train_once_personal_footprint
  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
  ☆311Updated last year
• xboot / libonnx
  A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
  ☆645Updated 5 months ago
• aztc / EtinyNet
  ☆26Updated 3 years ago
• xxxxyu / FlexNN
  Flexible DNN inference under changing memory budgets
  ☆58Updated 11 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆135Updated last year
• 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
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆236Updated 3 years ago
• gigwegbe / tinyml-papers-and-projects
  This is a list of interesting papers and projects about TinyML.
  ☆974Updated last month
• Qualcomm-AI-research / FP8-quantization
  ☆169Updated 2 years ago
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆540Updated last year
• Arm-Examples / ML-examples
  Arm Machine Learning tutorials and examples
  ☆479Updated last week
• sipeed / TinyMaix
  TinyMaix is a tiny inference library for microcontrollers (TinyML).
  ☆1,028Updated 11 months ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆281Updated last year
• aojunzz / NM-sparsity
  ☆243Updated 3 years ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆267Updated 2 years ago
• ai-techsystems / deepC
  vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
  ☆600Updated 5 months ago