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blazingly.io
- Belgium
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03:47
(UTC +01:00) - @JasperDeMoor
Stars
SONAR, a new multilingual and multimodal fixed-size sentence embedding space, with a full suite of speech and text encoders and decoders.
Simple, fast primitives for building pdf viewers. maintained by @unriddle-ai
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
A Storybook builder powered by Parcel
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
DSPy: The framework for programming—not prompting—language models
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Incorporating VIsual LAyout Structures for Scientific Text Classification
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
A React component to view a PDF document
Efficient few-shot learning with Sentence Transformers
OCR, layout analysis, reading order, table recognition in 90+ languages
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Make your JSON data collaborative and version-controlled with CRDTs
A toolchain for web projects, aimed to provide functionalities to maintain them. Biome offers formatter and linter, usable via CLI and LSP.
WIP GitHub client built with React Aria Components + Tailwind CSS
Convert PDF to HTML without losing text or format.
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
A Python library to extract tabular data from PDFs
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Rust library for walking directories recursively.
A boilerplate for creating a Llama 3 chat app
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.