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ETH Zürich
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ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
QuantStart.com - QSTrader backtesting simulation engine.
A nimble options backtesting library for Python
GPU-accelerated Factors analysis library and Backtester
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Common financial risk and performance metrics. Used by zipline and pyfolio.
A massively parallel, optimal functional runtime in Rust
A massively parallel, high-level programming language
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto,…
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by st…
The Prodigy optimizer and its variants for training neural networks.
Configure Neovim with Nix! [maintainer=@GaetanLepage, @traxys, @mattsturgeon, @khaneliman]
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
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
A flexible distributed key-value datastore that supports both caching and beyond caching workloads.
[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
This project is an attempt to create a common metric to test LLM's for progress in eliminating hallucinations which is the most serious current problem in widespread adoption of LLM's for many real…
A spec-compliant gitignore parser for Python 3.5+
A high-throughput and memory-efficient inference and serving engine for LLMs
A performant NumPy extension for Galois fields and their applications