jamcodeC

ML_CIA

公众号: 机器学习荐货情报局 所有代码

BERT-pytorch

Google AI 2018 BERT pytorch implementation

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

OGeek

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Tencent2018_Lookalike_Rank7th

The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

awesome-RecSys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

RSPapers

A Curated List of Must-read Papers on Recommender System.

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

pyFM

Factorization machines in python

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Gluon-FashionAI-Attributes

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

xgboost

https://github.com/dmlc/xgboost

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media