xueliu8617112 Goto Github PK
Name: Xue Liu
Type: User
Company: Xi'an Jiaotong University
Bio: Phd student in Xi'an Jiaotong University
Name: Xue Liu
Type: User
Company: Xi'an Jiaotong University
Bio: Phd student in Xi'an Jiaotong University
LibFewShot: A Comprehensive Library for Few-shot Learning.
The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
use tensorflow to implement the MADDPG(simple_tag)
The code for maddpg using pytorch
Repo containing code for multi-agent deep reinforcement learning (MADRL).
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
The code for the paper Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems
The code of our ICLR'21 paper, "Domain Generalization with MixStyle".
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
pytorch code of multi scale 1d resnet, we hope it will help your research
Multiagents learning to play the game of tennis with the goal being to get an average score of +0.5 (over 100 consecutive episodes, after taking the maximum over both agents)
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
The Numenta Anomaly Benchmark
reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller
A neat pytorch implementation of nasnet and the ported weights from tensorflow
[WIP] Implementation of Learning Transferable Architectures for Scalable Image Recognition in Pytorch
TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
This repository contains codes, APIs, notebooks related to dynamics, rotor dynamics and nonlinear dynamics.
A machine learning library for detecting anomalies in signals.
Python implementation of the paper titled - "Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab"
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.