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Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
This is a implementation of integrating a simple but efficient attention block in CNN + bidirectional LSTM for video classification.
An index of algorithms for learning causality with data
Literature and code for inverse reinforcement leanring research
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Author's PyTorch implementation of BCQ for continuous and discrete actions
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
To predict the chances of getting admitted again within a month using the Doctors' notes.
Decision Curve Analysis
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy.
List of papers, code and experiments using deep learning for time series forecasting
A toolkit for reproducible reinforcement learning research.
Must-read papers on graph neural networks (GNN)
Google Research
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
A Bayesian Neural Network with a horseshoe prior for improved interpretability
Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
Fit interpretable models. Explain blackbox machine learning.
Interpretable Machine Learning with Python, published by Packt
Book about interpretable machine learning
Implementations of selected inverse reinforcement learning algorithms.
Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inverse Reinforcement Learning" - (Ziebart et al. 2008)
Pytorch GAIL VAIL AIRL VAIRL EAIRL Implementation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Experiments showing effects of parameters on Maximum Entropy Inverse Reinforcement Learning using grid world
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.