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Name: Yanki Kalfa
Type: User
Bio: I am a Finance PhD Candidate at UC- San Diego focusing on time series forecasting, econometrics, and machine learning.
Name: Yanki Kalfa
Type: User
Bio: I am a Finance PhD Candidate at UC- San Diego focusing on time series forecasting, econometrics, and machine learning.
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Reimplementation of Autoencoder Asset Pricing Models (GKX, 2019)
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Bayesian Analysis with Python by Packt
COIN-OR Branch-and-Cut solver
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
TVP-VAR-SV
PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting
Markowitz portfolio optimisation (efficient frontier) in Python
Portfolio Management Framework for risk and performance analysis 投资组合管理
Calculate U.S. equity (portfolio) characteristics
Fan Charts Python implementation.
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Financial Theory Course (MSc, Julia code)
Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.
Replication of key GARCH model papers
This Repository contains python code to replicate the “Why You Should Never Use the Hodrick-Prescott Filter” by James D. Hamilton
Distributed Asynchronous Hyperparameter Optimization in Python
Instrumented Principal Components Analysis
Attention mechanism Implementation for Keras.
This package implements the local projections models in Python for single entity time series, and panel / longitudinal data settings, due to Jorda (2005), and based on codes available at https://sites.google.com/site/oscarjorda/home/local-projections.
LSTM-XGBoost Time Series Forecasting
Visualize Tensorflow's optimizers.
Examples for https://github.com/optuna/optuna
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.