monkeystrive Goto Github PK

aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

android-advanced-interview

只针对 Android 高级开发整理的面试题以及答案，我目前就职于某度高级安卓工程师，在当下大环境中自己也想出分力，通过我的技术经验过滤出来很多优质文章，这里的每一篇文章我都认真看过，保证质量，祝大家面试高级安卓开发顺利！

awesome-ai-algorithm

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

bigdata18

Transfer learning for time series classification

data-augmentation-for-tsc

Data augmentation using synthetic data for time series classification with deep residual networks

ecggan

LSTM-GAN for generate plausible ECG signals

gan_introductorytoadvanced

GAN入门到进阶

github520

:kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）

githubdemo

interview

Interview = 简历指南 + LeetCode + Kaggle

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

leetcode-python

LeetCode solutions in Python2. LeetCode题解 in Python2。

lssvr

Least Squares Support Vector Regression

machine-learning

神经网络的前向传播与反向传播-数学推导过程

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pythonpark

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

rbf_regressor

RBF回归预测模型—波士顿房价案例分析

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

stock.ai

This project tries to use AI, specifically reinforcement learning, to manage a stock portfolio. The objective is to be practical. So this is not only a demo of AI application in investment. This project is still at its early days. I will try to complete it in 1 year.

tf2-rl

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

tf2_notes

人工智能实践：Tensorflow笔记

time-series-analysis-using-lssvr-evolutionary-optimizer-from-scratch

All Codes are from scratch using basic packages.

timeseries-gan

Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.