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Name: Yifan Zhu
Type: User
Location: Frankfurt am Main
Name: Yifan Zhu
Type: User
Location: Frankfurt am Main
ArXiv'18 implementation of amortized maximum likelihood (AML) for high-quality, weakly-supervised shape completion.
Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"
Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
CVPR'18 implementation of (deterministic) amortized maximum likelihood (AML) for weakly-supervised shape completion.
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Detecting the Unexpected via Image Resynthesis
a visual SLAM system performed on RGB-D images
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
g2o: A General Framework for Graph Optimization
Python binding of SLAM graph optimization framework g2o
Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts
Implicit Geometric Regularization for Learning Shapes
a reinforcement learning agent can play laser hockey
Source code of my master thesis: Learning 3D Shape Completion under Self-Supervision
My blogs and code for machine learning. http://cnblogs.com/pinard
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Machine learning glossary
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
stixelnet for obstacle region detection of road scenes
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
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.