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Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Deep Reinforcement Learning
Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)
A Dual Weighting Label Assignment Scheme for Object Detection
Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)
Learning Dynamic Routing for Semantic Segmentation
Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
A simple adaboost code using decision stumps as weak classifiers
easy and simple way to train, export and deploy pointpillars for 3D detection
Edge-Informed Single Image Super-Resolution, ICCVW 2019 https://arxiv.org/abs/1909.05305
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
An Efficient, Flexible, and General deep learning framework that retains minimal.
[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution
Common financial risk and performance metrics. Used by zipline and pyfolio.
Codes for "Deep Deterministic Policy Gradient (DDPG) based Energy Harvesting Wireless Communications"
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
MATLAB implementation of the extended target PMBM tracker based on sets of trajectories
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Motion Based Multi-Sensor Extrinsic Calibration
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Visualizations for machine learning datasets
A simple baseline for one-shot multi-object tracking
Fast, Accurate and Lightweight Super-Resolution models
Official PyTorch implementation of Fully Attentional Networks
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.