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100 Days of ML Coding
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Replication of study Avellaneda, Marco, and Sasha Stoikov: High-frequency trading in a limit order book. Quantitative Finance 8.3 (2008): 217-224.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A Model to Predict any kind of price such as Crypto price or Stock price using LSTM network and python
The Python programming language
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
GPT-3: Language Models are Few-Shot Learners
Exercises from Introduction to Modern Input-Output Analysis university class.
Input-output data with Python
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
latex templates
Generates LaTeX math description from Python functions.
Large Deviations for volatility options
Individual session resources for each Learn to Code session
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
Python demo code for LOBSTER limit order book data
Classical equations and diagrams in machine learning
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Examples of common machine learning algorithms implemented in python
This repository serves to share the replicated results listed in the paper by Sasha Stoikov - The Micro-Price. As opposed to data used in the paper for US equities BAC and CVX, I am using the data for the Crypto pair ETHBTC. The data was pulled by me from Binance by subscribing to three different streams - Market Trades, Partial Depth and Orderbook
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.
Order Imbalance Strategy in High Frequency Trading
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
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.