setrsw

setrsw's Stars

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.7k34397412.2k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.2k623774.8k

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook14.1k2841042.9k

• ruanyf/document-style-guide

  中文技术文档的写作规范

  12.1k308452.3k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.6k18717742

• myhhub/stock

  stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

  Language:Python6.9k1141641.3k

• ricequant/rqalpha

  A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

  Language:Python5.4k4215011.6k

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook4.9k3564857

• BigBrotherTrade/trader

  交易模块

  Language:Python4.4k456956

• datawhalechina/competition-baseline

  数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

  Language:Jupyter Notebook4.3k88241.1k

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  3.3k2229301

• datawhalechina/daily-interview

  Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

  Language:HTML2.7k5111434

• zonechen1994/CV_Interview

  I hope this repo can help you a lot!

  1.3k145221

• elviswf/DeepLearningBookQA_cn

  深度学习面试问题 回答对应的DeepLearning中文版页码

  870341194

• datawhalechina/whale-quant

  本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。

  Language:Jupyter Notebook74994125

• letianzj/quanttrader

  Backtest and live trading in Python

  Language:HTML548199115

• vivienzou1/DL-Notes-for-Interview

  deep learning/ machine learning

  349908k

• happynoom/DeepTrade

  A LSTM model using Risk Estimation loss function for stock trades in market

  Language:Python313407141

• Icecream-blue-sky/Five-year-algorithm-interview-three-year-simulation

  算法岗笔试面试大全，励志做算法届的《五年高考，三年模拟》！

  2671118

• fulifeng/Adv-ALSTM

  Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

  Language:Python1685770

• EmptyJackson/policy-guided-diffusion

  Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"

  Language:Python124257

• Flying9001/Notes

  java/Linux/Windows/macOS notes

  Language:Shell792191

• DurandalLee/ACEFormer

  Language:Python671514

• HanLi123/book

  书籍配套代码

  Language:MATLAB503032

• breadada/mieSys

  A minimal display advertising system.

  Language:Python478125

• Mikoto10032/Interview_Notes-Chinese

  2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

  Language:Python402019

• cool-xuan/Imbalanced_SAM

  The offical implement of ImbSAM (Imbalanced-SAM)

  Language:Python23222

• kfoofw/uplift_modelling

  Language:Jupyter Notebook8202

• 0215Arthur/Coding_Exercise_2021

  Program and Coding exercises for interview

  Language:C++7202

• KlangAlpha/Kbacktest

  基于Klang框架的 在线回测框架

  Language:Python4113