Yuanmo (@yuanmingqi)
github

yuanmingqi

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  • Stars
    star
    61
  • Global Rank 296,700 (Top 11 %)
  • Followers 82
  • Following 10
  • Registered over 6 years ago
  • Most used languages
    Python
         77.8 %
    Makefile     11.1 %
    JavaScript
         11.1 %
  • Location 🇭🇰 Hong Kong
  • Country Total Rank 266
  • Country Ranking
    Makefile     20
    Python
         109
    JavaScript
         295

Top repositories

1

rl-exploration-baselines

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
Python
283
star
2

YOLOv3

The implementation of YOLOv3 based on TensorFlow 2.x and TensorFlow Lite
Python
14
star
3

UniNet

Towards More Accurate Iris Recognition Using Deeply Learned Spatially Corresponding Features
Python
12
star
4

ConvolutionBox

ConvolutionBox is a convenient tool for convolution visualization, which can help you with experiments!
JavaScript
11
star
5

pySavjeeCoin

Python implementation of the SavjeeCoin
Python
11
star
6

RISE

Rényi State Entropy for Accelerating Exploration in Reinforcement Learning
Python
5
star
7

Convolutional-Pose-Machines

The implementation of Convolutional Pose Machines based on TensorFlow 2.0 and TensorFlow Lite
Makefile
4
star
8

TibetanMNIST

A dataset of TibetanMNIST
1
star
9

YuanRL

Implementations of the Single-Agent Reinforcement Learning (SARL) and Multi-Agent Reinforcement Learning (MARL) algorithms.
Python
1
star
10

HAIRL

Hybrid adversarial inverse reinforcement learning (HAIRL) is a model-free, one-stage, GA fashion and curiosity-driven beyond-demonstrator inverse reinforcement learning (IRL) algorithm.
Python
1
star