zaidtashman Goto Github PK
Type: User
Type: User
A/B testing with time dependency
Approximate Dynamic Programming for Portfolio Selection Problem
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
The most cited deep learning papers
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python Backtesting library for trading strategies
Bayesian Networks in Scala
Bayesian inference for Generalized Autoregressive Score models.
Bayesian Targeted Maximum Likelihood Estimation for Causal Inference
Bayesian Data Analysis demos for Python
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Flask Bootstrap 5 - Volt Dashboard | AppSeed
a statistical model of the economy
GPstuff - Gaussian process models for Bayesian analysis
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Keras implementations of Generative Adversarial Networks.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
A List of Recommender Systems and Resources
Mastering-Scala-Machine-Learning
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.