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Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
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Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
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Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
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For calculating global feature importance using Shapley values.
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A CLI utility to train and deploy ML/DL models on AWS SageMaker.
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Topic Modelling the Sarah Palin emails.
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High-performance, high-precision CPU, GPU, and memory profiler for Python.
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Simple and efficient library to minimize expensive and noisy black-box functions.
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Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
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A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
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Golang implementation of Punkt sentence tokenizer.
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Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
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Emerging human-behavior simulation capability in LLM agents.
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Natural Language Understanding library for intent classification and entity extraction.
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A library for processing Chinese text.
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AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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Convert monolithic Jupyter notebooks into maintainable pipelines.
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A library for email Spam filtering built on top of NLTK.
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StableLM: Stability AI Language Models.
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A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.
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DSPy: The framework for programming — not prompting — foundation models.
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⭐ to get notified when new templates drop.
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An English (Porter2) stemming implementation in Elixir.
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A neuro-symbolic framework for building applications with LLMs at the core.