hongguang's repositories

c00h00g.github.io

记忆里的味道

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alphaFM

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

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awesome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

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CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

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causalml

Uplift modeling and causal inference with machine learning algorithms

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Data-Science-Notes

数据科学的笔记以及资料搜集

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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deeplearning

深度学习相关的模型训练、评估和预测相关代码

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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HeCo

The source code of HeCo

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Hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

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keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

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lianjia-scrawler

链家二手房租房在线数据,存量房交易服务平台数据,详细数据分析教程

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lime

Lime: Explaining the predictions of any machine learning classifier

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MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

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nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

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OpenKE

An Open-Source Package for Knowledge Embedding (KE)

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poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

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pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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programming-book-3

Programming books 3: Python、 Machine-Learning、 Deep-Learning、 NLP

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pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

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Python

All Algorithms implemented in Python

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pytorch-tutorial-1

PyTorch Tutorial for Deep Learning Researchers

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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tf_chg

tensorflow learning

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tianshou

An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.

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x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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