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✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
machine learning and deep learning tutorials, articles and other resources
META is a program for the meta analysis of genome-wide association studies. The program is designed to synthesizing the evidence from different association studies.
Imputing missing stock anomalies data with EM implementation
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
On Line Inference for multiple Changepoints problem in time series model.
Scheduled buying of BTC, ETH, and LTC from Coinbase Pro, optimally!
Use PyTorch to implement some classic frameworks
Matlab code for algorithms in PRML book
This tool is used to install `pyenv` and friends.
Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization
an interesting game similar to Hua
A Fast Implementation of Random Forests
Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference
Representative trees from ensembles
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
:exclamation: This is a read-only mirror of the CRAN R package repository. rqPen — Penalized Quantile Regression
Python implementation of the rulefit algorithm
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
scikit-learn compatible Python bindings for ranger C++ random forest library
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.
ThetaGang is an IBKR bot for collecting money
Tidy Temporal Data Frames and Tools
Python project for real-time financial data collection, analyzing && backtesting trading strategies
The xyz algorithm for fast interaction search in high-dimensional data.
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.