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brevitas

Brevitas: quantization-aware training in PyTorch

bus-driver-behavior-detection

CNN+LSTM; Video classification; Four categories（Normal; Smoking; Using mobile; Off seat）

cat-dog-classifier

An image classification algorithm using CNN in Pytorch

compensation

a repo to be filled with code for paper "Pruning with Compensation: Efficient ChannelPruning for Deep Convolutional Neural Networks"

deepvac

PyTorch python project standard.

distance_measurement_using_single_camera

using single camera to measure the distance opencv python,

dogs-vs-cats-pytorch

Pytorch实现Kaggle竞赛“猫狗分类”，准确率超过99%。

dogsvscats

Kaggle竞赛题猫狗大战 ，用于PyTorch入门

face_recognize

fatigue-driving-detection-alogorithm-based-on-deep-learning

Histogram of Oriented Gradient; convolutional neural network; fatigue driving detection

kaggle-dogs_vs_cats_pytorch

kaggle competition: Dogs_vs_Cats_PyTorch Presentation（Getting started with PyTorch）

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

mobile-pest-identification

A Lightweight Deep Learning Model for Automated Pest Detection on Mobile

mobilenet-v2-pruning

Try out different pruning-approaches on lightweight Backbones.

mobilenet-yolov4-pytorch

这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

msdnet-pytorch

MSDNet

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

netadapt

This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications".

netron

Visualizer for neural network, deep learning, and machine learning models

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

object-detection-and-distance-measurement

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

pruned-openvino-yolo

Deploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices

pytorch-learning-notes

pytorch learning tutorials

pytorch-note

pytorch学习笔记-md格式便于下载和修改

pytorch-slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

pytorch_qat_tool

For qat of cnn pytorch models.

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

ranet-pytorch

Resolution adaptive network

smart-agriculture-using-iot-and-machine-learning

The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure

smartagriculture-iot-

An IoT approach to make farming and agriculture more smarter and efficient.