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Adaptive Affinity Fields for Semantic Segmentation
This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Background Matting: The World is Your Green Screen
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
Won-Dong Jang and Chang-Su Kim, "Interactive Image Segmentation via Backpropagating Refinement Scheme," CVPR 2019
CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.
An implementation of CycleGan using TensorFlow
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
Deep Image Matting implementation in PyTorch
Worked towards using the encoder-decoder network along with long short term memory (LSTM) network in order to develop the framework for solving the video matting problem.
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
face-alignment using vec and wing-loss
Faster-RCNN in Tensorflow
Faster R-CNN
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Natural Image Matting via Guided Contextual Attention
An implementation of global matting algorithm for OpenCV.
Grok open release
implementation of insightface by using Tensorflow
State-of-the-art 2D and 3D Face Analysis Project
天涯 kkndme 神贴聊房价
This is the implementation for Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Models and examples built with TensorFlow
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Visualizer for neural network, deep learning and machine learning models
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.