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Name: 刘国友
Type: User
Bio: xiaomi
Name: 刘国友
Type: User
Bio: xiaomi
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
SongDriver2 achieves a balance between real-time emotion fit and soft transitions, enhancing the coherence of the generated music.
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
SPADnet: Deep RGB-SPAD Sensor Fusion Assisted by Monocular Depth Estimation
Official SPAQ & Implementation
ICAR 2019 "Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps"
Efficient Sparse-Winograd Convolutional Neural Networks
Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.
A CPU version of SparseConvNet
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
End-to-End Object Detection with Learnable Proposal
Unofficial implementation of SpecTNT in pytorch
Deep face recognition pipeline with SphereFace (Caffe).
Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019
Spatial Profile Loss for Image Translations
The Surprisingly ParalleL spArse Tensor Toolkit.
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CVPR 2017.
Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738
sparse matrix pre-processing library
This is a tuned sparse matrix dense vector multiplication(SpMV) library
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"
SPOT: Sliced Partial Optimal Transport
SpotTune: Transfer Learning through Adaptive Fine-tuning
Code for Learning Spread-out Local Feature Descriptors
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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.