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Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter support…
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A programming framework for agentic AI 🤖
Make images smaller using best-in-class codecs, right in the browser.
Official inference repo for FLUX.1 models
Simple word to frequency mappings for the german language based on text corpora and using CISTEM stemmer.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Universal library to integrate with LLMs. Supports Node.js, Deno, Bun, Service Workers, Web Extensions.
🔤📊 SEEKTOPIC: Summarization by Extracting Entities, Keyword Tokens, and Outline Phrases Important to Context 🤖🔎 STREAM: Search with Top Result Extraction & Answer Model 🚜📜 Tractor the Text Extractor
Robust Speech Recognition via Large-Scale Weak Supervision
Encoding speed comparison of ONNX vs Normal model in infloat/multilingual-e5
Open-source Astro website template with sleek, customizable TailwindCSS components.
An ONNX converter script focused on embedding models
Hybrid search engine, combining best features of text and semantic search worlds
🧠⚙️ Web Neural Network API polyfill based on TensorFlow.js
A simple, expressive, safe and Shopify compatible template engine in pure JavaScript.
Use SWC with Rollup to transform / minify ESNext and TypeScript code.
simplifies the process of creating and managing LLM workflows.
hnswlib-wasm attempts to create a browser friendly version of hnswlib
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
System headers for interfacing WebGPU from C programs compiled via Emscripten to WebAssembly