jlhou Goto Github PK
Name: kevin
Type: User
Company: UCAS
Bio: a doctor of UCAS
Location: beijing
Name: kevin
Type: User
Company: UCAS
Bio: a doctor of UCAS
Location: beijing
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
README and scripts for the Cityscapes Dataset
a tool to find an object with some colour and when it moves,it will draw its trajectory on the screen
Comparison of famous convolutional neural network models
Some notes about computer sience and Python.
data process,load for pytorch
The codes about Data Structures and Algorithms.
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks
Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
A PyTorch implementation of EfficientNet
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Flops counter for convolutional networks in pytorch framework
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.
Google Research
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
LlamaIndex is a data framework for your LLM applications
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
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.