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The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.
heavily vectorized c++17 compile time string encryption.
World's fastest log analysis: λ + SQL + JSON + S3
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
Apache Doris Website
A High-Performance JIT-Based C++ Expression/Script Execution Engine with SIMD Vectorization Support
vectorized high-level math library
Self-managed thirdparty dependencies for Apache Doris
Scalable package delivery logistics simulator built using SingleStore and Vectorized Redpanda
Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.
stable-baselines3 reinforcement learning on SUMO traffic light system
This repo provides a starting point for building applications using SingleStore, Redpanda (by Vectorized), and the Go language. SingleStore is a scale-out relational database built for data-intensive workloads. Redpanda is a Kafka API compatible streaming platform for mission-critical workloads created by the team at Vectorized.
Fast and Strong Burrows Wheeler Model
fast + parallel AlphaZero in PyTorch
A C++17 header-only library that provides compile-time string encryption and decryption using SIMD instructions
SIMD optimized C++ mathematics library. (vector, matrix, quaternion, ray, triangle, sphere, AABB, etc.)
Vectorized CNN implementation from scratch using only numpy