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OpenAI API + Ruby! 🤖❤️ NEW: Assistant Vector Stores
A web interface for browsing Ruby on Rails sent emails
Team management app used to generate warnings and send email reports about collaborator's performance.
WIP - Boilerplate for React.js applications, built with Mobx as a state manager, Chakra UI as a component library and Vite as a build tool.
PodJS is an open source podcast app built with Next.js, MobX and Chakra UI. https://podjs.vercel.app
Demo from the project evolution-graph.
Highly customizable, animated, responsive and dependency-free Evolution Graph implementation. The package is built with Vanilla JavaScript and is used to create flexible data visualizations and pre…
A collection of loading spinners animated with CSS
🔍 Rails N+1 queries auto-detection with zero false positives / false negatives
A Rails 6 boilerplate to create your next Saas product. Preloaded with graphQL, devise, JWT, CanCanCan, RailsAdmin, Rubocop, Rspec, i18n and more.
Feature exploration for supervised learning
Detect leakages in machine learning datasets using complex numbers and NANs
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Universal model exchange and serialization format for decision tree forests
A re-implementation of the minimum redundancy maximum relevance (mRMR) feature selection algorithm with emphasis on greatly increased perfomance (1000x or greater on large data sets) and an improve…
A curated list of awesome work on causal inference, particularly in machine learning.
Google BigQuery connector for pandas
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A library for efficient similarity search and clustering of dense vectors.
A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)