Lists (2)
Stars
SGLang is a fast serving framework for large language models and vision language models.
A fast usermode x86 and x86-64 emulator for Arm64 Linux
Pixeltable — Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
The AI-Native Search Database. Unifies vector, text, structured and semi-structured data in a single engine, enabling hybrid search and in-database AI workflows.
Zork I (Microcomputer Version) by Infocom
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🗻 Log-structured, embeddable key-value storage engine written in Rust
Retrieval and Retrieval-augmented LLMs
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
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 …
Official code repository for "Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse [VLDB 25]"
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
🔥Highlighting the top ML papers every week.
WineFS (SOSP 21): a huge-page aware file system for persistent memory
A Fast, Cost-Effective LSM-tree Based KV Store on Hybrid Storage
ToplingDB is a cloud native LSM Key-Value Store with searchable compression algo and distributed compaction
Slim nsenter Docker image - enter into Docker container/host namespaces
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.