wonlee2019 Goto Github PK
Type: User
Type: User
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Simple attention APIs for masked attention in transformers.
A graph library for Matlab based on the boost graph library
Source code for 'MATLAB Deep Learning' by Phil Kim
Collection of support scripts to read/write/process light field data
Repository of CVPR'22 paper "Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression"
Convolutional Neural Network for 3D meshes in PyTorch
The open source mesh processing system
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
PyTorch implementation of "MGANet & DCC2020 paper"
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
pwning IPv4 via IPv6
NumPy-based Python interface to Intel (R) MKL FFT functionality
[ACMMM 2023 / NCW ICML 2023] MLIC: Multi-Reference Entropy Model for Learned Image Compression / MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Models built with TensorFlow
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Video codec based point cloud compression (V-PCC) test model
The state-of-the-art image restoration model without nonlinear activation functions.
A list of papers and datasets about natural/color image segmentation (processing)
Experiments for Neural Flows paper
A collection of tools for neural compression enthusiasts.
Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)
Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Networks Using Graphs] (https://arxiv.org/abs/1703.04818) for binary Sentiment Analysis using the Large Movie Review Dataset. This is an optional project for a class in Advanced Algorithms and Parallel Programming
End-to-End Learnt Image Compression Codec
"bison --yacc --name-prefix=__gettext --output plural.c plural.y" loads to "bison: m4 subprocess failed: permission denied."
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
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.