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Name: liu-ca
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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
An unofficial implementation of (Adaptively Parametric Rectifier Linear Unit,APReLU).
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
This is a list of awesome methods about data augmentation.
Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)
Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Differentiable architecture search for convolutional and recurrent networks
Densely Connected Search Space for More Flexible Neural Architecture Search
Distance-IoU Loss into SSD
DML_Network
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
A PyTorch implementation of EfficientNet
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search (ICLR2020)
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019
CNN architecture exploration using Genetic Algorithm
Official Code Repository for "Gradient Projection Memory for Continual Learning"
Continuum Learning with GEM: Gradient Episodic Memory
The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".
Image augmentation for machine learning experiments.
An open source library for face detection in images. The face detection speed can reach 1000FPS.
mixup: Beyond Empirical Risk Minimization
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
a pytorch implement of mobileNet v2 on cifar10
This is the PyTorch implement of MobileNet V2
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.