Lists (14)
Stars
IDE style command line auto complete
Python tool for converting files and office documents to Markdown.
Official inference framework for 1-bit LLMs
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
A library for efficient similarity search and clustering of dense vectors.
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
OpenTofu lets you declaratively manage your cloud infrastructure.
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
A library for building fast, reliable and evolvable network services.
High-performance In-browser LLM Inference Engine
TinyChatEngine: On-Device LLM Inference Library
High-speed Large Language Model Serving for Local Deployment
Embeddable Postgres with real-time, reactive bindings.
Just like TextEdit on Mac but dedicated to Markdown.
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
FoundationDB - the open source, distributed, transactional key-value store
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.