cognoscentai Goto Github PK
Name: cognoscent.ai
Type: User
Name: cognoscent.ai
Type: User
Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
AIXIjs - General Reinforcement Learning in the Browser
Implementation of the ALI-G algorithm (PyTorch, Tensorflow)
Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
Experiments of amortized stein variational gradient
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Open source implementation of Adaptive Posterior Learning (ICLR 2019)
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
A Pytorch Implementation of Attentive Neural Process
Automatic architecture search and hyperparameter optimization for PyTorch
Code required to reproduce the experiments in Auxiliary Variational MCMC
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A community repository for benchmarking Bayesian methods
Bayesian LSTM Implementation in PyTorch
Efficient Exploration through Bayesian Deep Q-Networks
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
Code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
This repository contains levels for boxoban, a box-pushing puzzle game inspired by Sokoban.
Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)
Discovering directional relations via minimum predictive information regularization
Tools for causal analysis
Kaggle's Causality Challenge Solution for team FirfiD
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
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.