0as1s's Stars
kaelzhang/stock-pandas
🚀 The production-ready subclass of `pandas.DataFrame` to support stock statistics and indicators
zslucky/awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
daicoolb/RecommenderSystem-Paper
This repository includes some papers that I have read or which I think may be very interesting.
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
bigdong89/xgboostExtension
xgboost Extension for Easy Ranking & TreeFeature
Jeevan-kumar-Raj/Grokking-System-Design
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.
brentp/intintmap
fast int64-int64 map for go
kubeflow/xgboost-operator
Incubating project for xgboost operator
jackmoody11/stockscore
A python project to fetch stock financials/statistics and perform preliminary screens to aid in the stock selection process
pyhong/Machine-learning-on-Stocks-Selection
机器学习选股模型
chrishumphreys/p2j
Python to Java translator
wangshub/RL-Stock
📈 如何用深度强化学习自动炒股
benitoro/stockholm
一个股票数据(沪深)爬虫和选股策略测试框架
asxinyu/Stock
**2000年以来到2018年2月份的历史数据,包括股票基础信息和每支股票每天的基本交易信息
felixglow/Stock
python使用线程池实时获取股票价格 python use threading pool to get the stock's price via terminal
pythonstock/stock
stock,股票系统。使用python进行开发。
garydai/stock
雪球股票讨论度与价格走势的关系
azerpas/nikeAPI-Py
Old script made to mass register accounts to Nike SNKRS draw (DAN), optimized for French SNKRS but can be easily adapted to UK,US, etc...
ufoym/deepo
Setup and customize deep learning environment in seconds.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
hsjeong5/MNIST-for-Numpy
A simple, easy to use MNIST loader written in Python 3
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
tengshaofeng/ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
soulmachine/acm-cheat-sheet
Acm Cheat Sheet
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
tensorlayer/tensorlayer-chinese
TensorLayer 中文文档
CVxTz/image_search_engine
Image search engine
demuxin/pytorch_tricks
some tircks for PyTorch
xiaoyufenfei/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
puncsky/system-design-and-architecture
Learn how to design large-scale systems. Prep for the system design interview.