Pinned Repositories
2020-uzh-course-material
Course material for the Winter 2020 Edition of PP4RS at Uni Zurich
academia-hugo
Academia Hugo theme is fork from Hugo Academic Template.
AlphaAI
Use unsupervised and supervised learning to predict stocks
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
applied_metrics
A PhD course in Applied Econometrics and Panel Data
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Backtesting
Backtesting on 22 firm-characteristic risk factors ( R, python, cross-sectional linear regression, Fama-MacBeth)
beamer-tips
beamercolortheme-owl
A Beamer colour theme that maximizes visibility in dark and unfavourable conditions
Block_Codes
This depository uses SEC EDGAR data in Schedule 13D and Schedule 13G data to find all positions above 5% in all US stocks between 1994 and 2018.
Erfanit64's Repositories
Erfanit64/causal-effect-identification
Erfanit64/cookiecutter-research-project-template
Cookiecutter Template for Academic research projects
Erfanit64/cs-video-courses
List of Computer Science courses with video lectures.
Erfanit64/doshi-replicate
This repo replicates Doshi et al (2019) and extends the analysis with Stata and Python
Erfanit64/DSGE_mod
A collection of Dynare models
Erfanit64/econometric-algorithms
Popular Econometrics content for students and researchers who wants to learn about regression analysis (in STATA/Python/R), how to test hypothesis and perform statistical tests.
Erfanit64/FactorAnalytics
Erfanit64/FinRL
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
Erfanit64/Forecast_LTG
Erfanit64/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Erfanit64/intangiblevalue
Erfanit64/Investments
Erfanit64/lichess-bot
A bridge between Lichess API and chess engines
Erfanit64/Machine-Learning-Algorithm-Collection
Machine Learning Algorithm Collection
Erfanit64/MT-DRL-Pytorch
Erfanit64/networks_causal_inference
Erfanit64/notebooks
GitHub doesn't render ipynb files on GitHub pages sites, so nbviewer frames of the files in this repo are included in my personal site.
Erfanit64/Python_Trading_Snippets
Collections of snippets for trading I find interesting
Erfanit64/quantitativeinvesting
Erfanit64/R_scripts
R scripts
Erfanit64/ra_guide
Guidelines for research assistants
Erfanit64/reveal.js
The HTML Presentation Framework
Erfanit64/sas-network-analysis
Code samples and materials for network analysis and network optimization with SAS or SAS Viya.
Erfanit64/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Erfanit64/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Erfanit64/Supervised-ML-sentiment-measures
Erfanit64/Teaching
Erfanit64/tseu
Trade with Machine Learning on the European stock market.
Erfanit64/tufte-latex
A Tufte-inspired LaTeX class for producing handouts, papers, and books
Erfanit64/wowchemy-hugo-modules
🔥 The website builder for Hugo. No code, build with widgets! 创建在线课程，学术简历或初创网站。