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Atom : an Agent-Based Financial Artificial Market in Java. Build yourself in silico experiments
An Agent-Based Financial Platform. See how evolve agents in a realistic double auction order book
The purpose of this notebook is to explore different methods for the valuation of options within the framework of the Black-Scholes pricing model with the use of Python. In particular, we will rely on Monte Carlo methods for the pricing of european call options, and compare the results with those obtained through the exact Black-Scholes solution.
Test for 1200 shades of blue
A series of scripts that can be used to classify activity patterns in neural spike trains
Detect bursts in batched data using Kleinberg's (2002) algorithm.
Resources for burst analysis paper
Uplift modeling and causal inference with machine learning algorithms
A library for working with Cellular Automata, for Python.
Chaotic attractors (Lorenz, Rossler, Rikitake etc.)
Python implementation of the CHIP network model, published in NeurIPS 2020.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Continuous Time Markov Chain
🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains
Python package for probability density function fitting of univariate distributions of non-censored data.
DKtests
Software implementing published dragon king (DK) related statistical tools developed by the Erdi research group at the Center for Complex System Studies (CCSS) at Kalamazoo College.
calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution
Collection of notebooks about quantitative finance, with interactive python code.
Embed strange attractors using a regularizer for autoencoders
Implementation of the Grassberger-Procaccia algorithm to estimate the Correlation Dimension of a set of points
A toolbox of Hawkes processes
Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017
🥳 winner of the Optiver challenge: making your own trading bot 🤖
Parser for IEX pcap DEEP and TOPS files
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.