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Name: 杨珉
Type: User
杨珉's Projects
ai-toolbox
A C++ framework for MDPs and POMDPs with Python bindings
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bandit-algorithms
Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]
bandits
Python library for Multi-Armed Bandits
banditsbook
Code for my book on Multi-Armed Bandit Algorithms
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
crnn_chinese_characters_rec
chinese characters recognition
ctf-challenge-collection
CTF Challenge Collection
elf
An End-To-End, Lightweight and Flexible Platform for Game Research
full-stack-open-pokedex
This repository is used for the CI/CD module of the Full stack open course
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
lantern
🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴
librec
LibRec: A Leading Java Library for Recommender Systems, see
madp
The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
magent
A Platform for Many-agent Reinforcement Learning
mycoolencryptor
encrypt strings with this easy tool!
nmt
TensorFlow Neural Machine Translation Tutorial
openrct2
An open source re-implementation of RollerCoaster Tycoon 2 🎢
pdfs
PDF Collection
pomdps.jl
MDPs and POMDPs in Julia - An interface for working with discrete and continuous, fully and partially observable Markov decision processes.
python
All Algorithms implemented in Python
python-recsys
A python library for implementing a recommender system
reinforcejs
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
reinforcement-learning-1
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scrapy
在scrapy框架的基础上进行二次开发
striatum
Contextual bandit in python
tensorflow
Computation using data flow graphs for scalable machine learning
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