vincentseven1 Goto Github PK
Type: User
Type: User
2021 年,计算机视觉相关综述。包括目标检测、跟踪........
A curated list of neural network pruning resources.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
CVPR 2021 论文和开源项目合集
deep learning for image processing including classification and object-detection etc.
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Dataflow compiler for QNN inference on FPGAs
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map
ICCV 2021 论文和开源项目合集
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
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
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Network Slimming (Pytorch) (ICCV 2017)
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Machine learning, in numpy
OpenCL Programming Examples
Codes of my MOOC Course <Play with Linear Algebra>. Updated contents and practices are also included. 我在慕课网上的课程《玩转线性代数》示例代码,使用Python语言。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Spiking Convolutional Neural Networks
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision
Datasets, Transforms and Models specific to Computer Vision
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.