lightweight interactive brokers gateway docker

mlpack: a fast, header-only C++ machine learning library

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 …

Interactive visualizations of the geometric intuition behind diffusion models.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

Tile primitives for speedy kernels

DeepEP: an efficient expert-parallel communication library

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

A complement to pgvector for high performance, cost efficient vector search on large workloads.

Timescale product documentation 📖

Release Docker builds of TimescaleDB

Learning how to write "Less Slow" code in C++ 20, C 99, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO

An imaginative example of a neural-network-based trading bot that merges a fantasy world simulation with cluster-based RL signals

Fast and memory-efficient exact attention

Unified framework for robot learning built on NVIDIA Isaac Sim

Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈

The QuantLib C++ library

Normalizing flows in PyTorch

Thread-safe asyncio-aware queue for Python

nanomsg-next-generation -- light-weight brokerless messaging

Subset-Norm and Subset-Momentum. This repo is built on top of https://github.com/jiaweizzhao/GaLore.

Formatted LEAN Class/API Reference by Doxygen

LEAN Polygon Data Source

InteractiveBrokers Brokerage Plugin