grapesonwang Goto Github PK
Name: Peng Wang
Type: User
Company: Manchester Metropolitan University
Bio: I pretended to enjoy programming, and now I do like it. But sometimes I hate it still.
Location: The United Kingdom
Name: Peng Wang
Type: User
Company: Manchester Metropolitan University
Bio: I pretended to enjoy programming, and now I do like it. But sometimes I hate it still.
Location: The United Kingdom
A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.
Anchor Diffusion for Unsupervised Video Object Segmentation
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
A curated list of background subtraction related papers and resources
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of network embedding techniques.
A collection of Bayesian data analysis recipes using PyMC3
Notebooks about Bayesian methods for machine learning
Bayes by Backprop implemented in a CNN
Codes for WCCI paper on uncertainty quantification.
Bayesian Deep Learning
A background subtraction library
Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"
ROS学习相关电子书,目前收集了10本
Matlab code for the Box Particle filtering project. Implementation of Interval class and simulation applications.
Bayesian Program Learning model for one-shot learning
A programming language designed for robot swarms.
Tensorflow implementation of capsule network (CapsNet) for traffic prediction.
This repo implements a car racing game with evolutionary training.
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Provides ROS integration for Cartographer.More details in Chinese http://www.cnblogs.com/hitcm/
COCO API - Dataset @ http://cocodataset.org/
Convolutional Gaussian processes based on GPflow.
Code for "Deep Convolutional Networks as shallow Gaussian Processes"
Optimization problems solved by IBM CPLEX
Statistical Learning Theory (CS229T) Lecture Notes
Materials for Bayesian Methods in Machine Learning Course
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.