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2016ccf-stategrid

CCF2016 - TNT_000二等奖作品

2016ccf-unicom

2016 ccf 依据用户轨迹的商户精准营销

2018-orange-financial-big-data-top9

2018年甜橙金融杯大数据建模大赛-初赛第四-复赛线上11-决赛9-复现top1解决方案

ai

对吴恩达的深度学习课进行整理

ailabx

AI量化实验室，专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

anz_chengdu_rank4_solution

澳新银行数据竞赛（DC平台）第四名方案

artemis

Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.

auto_feature_demo

automatic-view-extraction

automl

Onepanel AutoML

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

bayesian-analysis-with-python

《用Python做贝叶斯分析》

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-optimisation

Finding the best parameters for any algorithm

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bert-chinese

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 中文 汉语

big_data_resources

:boom:大数据/数据挖掘/推荐系统/机器学习相关资源

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bootstrapped

Generate bootstrapped confidence intervals for A/B testing in Python.

captcha_trainer

[验证码识别-训练] This project is based on CNN5/DenseNet+BLSTM/LSTM+CTC to realize verification code identification. This project is only for training the model.

ccf2018-top2-demand-forecast

Solutions of the forecast problem using Xgboost

ccf_product

CCF农产品价格预测线上rank2代码

cheatsheets

RStudio Cheat Sheets

chinese_sentiment

用tensorflow进行中文自然语言处理的情感分析

cnn-automated-feature-extraction

This repository consists code for the feature creation from structured data using CNN technique, along with input data and output data

cnn-convlstm-time-series

Inspired by the success and computational efficiency of convolutional architectures for various sequential tasks compared to recurrent neural networks. We explored CNN and RCNN autoencoder whose representations can be utilized for the task of time-series classification. Our results surpass existing RNN and DTW-based-classifiers on 11 out of 30 datasets while the existing RNN achieved 8/30.

convlstm

Convolutional LSTM for Precipitation Nowcasting

convmf

卷积神经网络（CNN）构建推荐系统

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow