abaisero Goto Github PK
Name: A. Baisero
Type: User
Bio: PhD student, reinforcement learning, partial observability
Name: A. Baisero
Type: User
Bio: PhD student, reinforcement learning, partial observability
My LaTeX style file
Aggregated solutions to Advent of Code
American Go Association Games Database (AGAGD)
Asymmetric methods for partially observable reinforcement learning
Awesome WM themes
A curated list of awesome Machine Learning frameworks, libraries and software.
Widgets for AwesomeWM
My personal website, written with python/Flask
Beamer theme for Northeastern University
A course on causal machine learning.
utilities to run and look at experiments on discovery
Move-by-move comments on go games.
A toolkit for developing and comparing reinforcement learning algorithms.
Gridworld domains in the gym interface
Minimalistic gridworld environment for OpenAI Gym
OpenAI Gym environments for MDPs, POMDPs, and confounded-MDPs implemented as pyro-ppl probabilistic programs.
A lightweight DIY alternative to services like Linktree.
Rules to multiverse go.
Quickstart configurations for the Nvim LSP client
Bijections between semantic value and index
Source code for the Online-Go.com web interface
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to reddit's API.
Custom git pre-commit hooks
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.