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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

atari-model-zoo

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

auction

realize the allocation of N tasks to N robots

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs285_fa19_deep_reinforcement_learning

My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

ddpg_torcs_pytorch

Using PyTorch and DDPG to play Torcs

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepin-wine-ubuntu

Deepin Wine for Ubuntu/Debian

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

drlnd

Udacity's Deep Reinforcement Learning Nano-Degree

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

eci289_final_project

Multiple Robots task assignments

feature-level-fusion-of-palm-print-and-palm-vein

Biometric systems have become a major part of research due its application of identification. Code provides a multimodal biometric system using palm prints modality combined with palm print modality. DCT transformation is applied initially into input image. The proposed methodology uses standard deviation of pre-defined block of DCT coefficient as feature vector. In this way single image is converted into feature vector of 1 x 39. Recognition process is being done by performing distance measurement between feature vector of testing and training data set. Results show that the False Acceptance Rate (FAR) of feature level fusion is less than that of uni-modal systems, hence having multimodality is advantageous. Testing and training is done on database of 500 students of College of Engineering Pune, Pune, India. Canberra distance shows best result when compared to Euclidean or Manhatten distance.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym_torcs

huawei-digix-agegroup

2019 HUAWEI DIGIX Nurbs Solutions

iauction-algorithm

Fast task allocation (assignment) algorithm

introrl

Intro to Reinforcement Learning (强化学习纲要）

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

machine-learning

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

mrta

A simulator for multi robot task allocation developed with ROS and Gazebo.

mrta-1

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multi-robot_task_allocation

Algorithm of a multi-robot task allocation for multi-target tracking