Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
alphalens-reloaded
Performance analysis of predictive (alpha) stock factors
ctr-prediction
Code for the Click-Through Rate Prediction Kaggle challenge from Avazu
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
kaggle_criteo_ctr_challenge-
This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
learngit
HeXiaohao's Repositories
HeXiaohao/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
HeXiaohao/alphalens-reloaded
Performance analysis of predictive (alpha) stock factors
HeXiaohao/ctr-prediction
Code for the Click-Through Rate Prediction Kaggle challenge from Avazu
HeXiaohao/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
HeXiaohao/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
HeXiaohao/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
HeXiaohao/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
HeXiaohao/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
HeXiaohao/kaggle_criteo_ctr_challenge-
This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
HeXiaohao/learngit
HeXiaohao/open_clip
An open source implementation of CLIP.
HeXiaohao/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
HeXiaohao/stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
HeXiaohao/StockFormer
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
HeXiaohao/StockMixer
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
HeXiaohao/stopwords
中文常用停用词表（哈工大停用词表、百度停用词表等）
HeXiaohao/stylegan2
StyleGAN2 - Official TensorFlow Implementation
HeXiaohao/Time-Series-Library
A Library for Advanced Deep Time Series Models.
HeXiaohao/train-CLIP
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.