Into Causal Inference!
thylor Goto Github PK
Type: User
Bio: Math, Stat guy. I like to learn new things. Only good vibes.
Type: User
Bio: Math, Stat guy. I like to learn new things. Only good vibes.
HWs of the Advanced Machine Learning course
This is a project of the Foundations of Artificial Intelligence course of the MSc in AI of Centralesupelec.
Working repository for Causal Tree and extensions
LDPC Code Implementation of the G.hn ITU G9960 standard proposed by the ITU-T. Jan 2017 – Apr 2017
Cinco game.
Visualization Collider Effect: ShinyApp
Continual Reinforcement Learning in 3D Non-stationary Environments
Some deep learning demos.
Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
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.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Algorithms for encoding and decoding CD-quality audio signals by means of DPCM technique and Golomb procedure.
Some works where I used time series.
The Verifiably Safe Reinforcement Learning Framework
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.