xiaogangli Goto Github PK
Name: Xiaogang
Type: User
Bio: Focusing on machine learning, deep learning and computer vision.
Location: Shenzhen, China
Name: Xiaogang
Type: User
Bio: Focusing on machine learning, deep learning and computer vision.
Location: Shenzhen, China
AAAI‘20 - Learning 2D Temporal Localization Networks for Moment Localization with Natural Language
The classical papers and codes about generative adversarial nets
An open autonomous driving platform
Web interface for browsing, search and filtering recent arxiv submissions
Google Brain AutoML
The most cited deep learning papers
Awesome work on hand pose estimation/tracking
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Bayesian Program Learning model for one-shot learning
An open-source PyTorch code for crowd counting
Caffe: a fast open framework for deep learning.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Image Completion with Deep Learning in TensorFlow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Convolutional Generative Adversarial Networks
Using neural networks to build an automatic number plate recognition system
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions"
A paper list of object detection using deep learning.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
DualNet: Learn Complementary Features for Image Recognition
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
TensorFlow examples
Ensemble of Exemplar-SVMs for Object Detection and Beyond
Extremely simple one-shot learning in Python
Gaussian prototypical network architecture for few-shot learning
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
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.