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Name: Yan Li
Type: User
Name: Yan Li
Type: User
Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)
Collection of slides, repositories, papers about AIOps
Interpretability and explainability of data and machine learning models
An index of algorithms for learning causality with data
A data index for learning causality.
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A topic-centric list of HQ open datasets. PR ☛☛☛
Comparison & Assessment of Time Series Data Discretization on Inference Methods
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Tools for causal analysis
A Python library that helps data scientists to infer causation rather than observing correlation.
Causing: CAUsal INterpretation using Graphs
Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
Datasets, SOTA results of every fields of Chinese NLP
COIN-OR Linear Programming Solver
Convolutional recurrent network in pytorch
cuML - RAPIDS Machine Learning Library
CVXOPT -- Python Software for Convex Optimization
Python wrapper for the Dark Sky API
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
PyTorch implementation of Diffusion Convolutional Recurrent Neural Network - Under development
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
Experiments for understanding disentanglement in VAE latent representations
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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.