yhbb1997

yhbb1997's Stars

• dseconf/DSE2024

  Lecture and conference materials for the DSE2024 at University of Wisconsin-Madison

  Language:Jupyter Notebook3940

• IAMconsortium/pyam

  Analysis & visualization of energy & climate scenarios

  Language:Python238120

• paulofelipe/cp2015

  Caliendo and Parro (2015) quantitative trade model in R.

  Language:R94

• chrisconlon/Grad-IO

  Graduate Empirical Industrial Organization

  Language:TeX206157

• J-Kahn/estimating-dynamic-corporate

  Source code for Bazdresch, Kahn, Whited "Estimating and Testing Dynamic Corporate Finance Models"

  Language:C++229

• rickecon/StructEst_W17

  MACS 40200: Structural Estimation

  Language:Jupyter Notebook3445

• XiangyunHuang/R-Tutorial

  R 语言材料

  13436

• cvxgrp/cvxportfolio

  Portfolio optimization and back-testing.

  Language:Python996258

• chathub-dev/chathub

  All-in-one chatbot client

  Language:TypeScript10.1k1k

• iamlemec/fastpat

  Parse and cluster USPTO patent data. Includes applications, grants, assignments, and maintenance.

  Language:Python13141

• ClimateChangeEcon/Climate_in_Climate_Economics

  Language:Python166

• SmirkCao/Lihang

  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

  Language:Python6k1.6k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19k6.3k

• OpenSourceEcon/CompMethods

  "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.

  Language:Python8312

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook5k597

• zhentaoshi/Econ5150

  Econ5150@CUHK

  Language:Jupyter Notebook86

• speciallurain/CNKI_Patent_SVM

  文本分类是指在给定分类体系下 , 根据文本的内容自动确定文本类别的过程。首先我们根据scrapy爬虫根据**知网URL的规律，爬取70多万条2014年公开的发明专利，然后通过数据清洗筛选出了60多万条含标签数据。通过TF-IDF对60多万条本文进行词频提取，依照词频排序提取前3000个词语形成语义词典，然后根据观察设置停用词。然后再用TF-IDF的方式对每个摘要进行词频选取，通过布尔模型，对比语义词典生成文本向量。然后对标签进行数字化转换。取90%的文本为训练集，10%的文本为测试集。用有监督学习的SVM算法对文本进行分类，（人类生活必需品、作业运输、化学冶金、纺织造纸、固定建筑物、机械工程、物理学、电学）分成8类

  Language:Python10533

• openai/gpt-3

  GPT-3: Language Models are Few-Shot Learners

  15.7k2.3k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.3k9.6k

• jcrichard/pyrb

  Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python

  Language:Python11744

• paulhybryant/convertible_bond

  可转债策略及量化回测

  Language:JavaScript8645

• Rockyzsu/convertible_bond

  低风险投资之可转债 可转债量化分析

  Language:Python20070

• dkl0707/factor_backtest

  因子回测框架

  Language:Jupyter Notebook9320

• JoinQuant/jqfactor_analyzer

  聚宽单因子分析工具

  Language:Python505185

• InseeFrLab/grandedim

  Codes correspondant au document de travail "L'économétrie en grande dimension"

  Language:Jupyter Notebook64

• cykbennie/fbi

  Factor-Based Imputation for Missing Data

  Language:R5614

• rsvp/fecon235

  Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  Language:Jupyter Notebook1.1k332

• WHUFT/ML-Quantamental

  Machine Learning-Driven Quantamental Investing

  Language:Python11863

• sgsourav/blockchain-network-analysis

  Language:Python212

• huangzz119/OptimalExecution_stochastic_control

  This is for the capstone project "Optimal Execution of a VWAP order".

  Language:Python3116