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Tensorflow Implementation of ChannelNets (NeurIPS 18)
ncnn is a high-performance neural network inference framework optimized for the mobile platform
😎 A Collection of Awesome NCNN-based Projects
TinyMaix is a tiny inference library for microcontrollers (TinyML).
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
[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 2…
RepVGG: Making VGG-style ConvNets Great Again
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
The code repo for the paper: "Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting"
CVPR 2022 "Online Convolutional Re-parameterization"
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Binarized Neural Network (BNN) for pytorch
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with inter-shaft bearing fault. Due to the large size of the data s…