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Brevitas: quantization-aware training in PyTorch
CNN+LSTM; Video classification; Four categories(Normal; Smoking; Using mobile; Off seat)
An image classification algorithm using CNN in Pytorch
a repo to be filled with code for paper "Pruning with Compensation: Efficient ChannelPruning for Deep Convolutional Neural Networks"
PyTorch python project standard.
using single camera to measure the distance opencv python,
Pytorch实现Kaggle竞赛“猫狗分类”,准确率超过99%。
Kaggle竞赛题猫狗大战 ,用于PyTorch入门
Histogram of Oriented Gradient; convolutional neural network; fatigue driving detection
kaggle competition: Dogs_vs_Cats_PyTorch Presentation(Getting started with PyTorch)
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
A Lightweight Deep Learning Model for Automated Pest Detection on Mobile
Try out different pruning-approaches on lightweight Backbones.
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
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
This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications".
Visualizer for neural network, deep learning, and machine learning models
Network Slimming (Pytorch) (ICCV 2017)
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.
Deploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices
pytorch learning tutorials
pytorch学习笔记-md格式便于下载和修改
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
For qat of cnn pytorch models.
《Pytorch模型训练实用教程》中配套代码
Resolution adaptive network
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
An IoT approach to make farming and agriculture more smarter and efficient.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.