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卷积

adversarialdnn-playground

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

ai-roadmap

ApacheCN AI 路线图（知识树）

amc-meta-learning-of-optimal-prediction-procedures

Code to reproduce the results in "Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures"

artificial-intelligence-berkeley-cs188

Learned about search problems (A*, CSP, minimax), reinforcement learning, bayes nets, hidden markov models, and machine learning

async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blackbox-bandits

Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

chainer-dcgan

Chainer implementation of Deep Convolutional Generative Adversarial Network

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

colab

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-reinforcement-learning-survey

My Exploration on Deep Reinforcement Learning Survey

deep_q_rl

Theano-based implementation of Deep Q-learning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

dqn_ddqn_dueling_and_ddpg_tensorflow

Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient (DDPG)

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hashingdeeplearning

inceptionv3

keras-rl

Deep Reinforcement Learning for Keras.

lgd

lmflow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

lsh

locality sensitive hashing