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Use AutoML to do model compression.
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Multilingual text (NLP) processing toolkit.
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A high-speed inference engine for deploying LLMs locally.
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Ask questions to your documents without an internet connection, using the power of LLMs.
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A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).
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A Python library for implementing a Recommender System.
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Graph Neural Network Library for PyTorch.
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Benchmarking Large Language Models.
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File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
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Works with speech, voice, music or other audio using machine-learning models.
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Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
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A C library for product recommendations/suggestions using collaborative filtering (CF).
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Bayesian optimization in high-dimensions via random embedding.
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Robust Bayesian Optimization framework.
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Open-source software for robot simulation, integrated with OpenAI Gym.
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For calculating global feature importance using Shapley values.
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Topic Modelling the Sarah Palin emails.
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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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A library for processing Chinese text.
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Convert monolithic Jupyter notebooks into maintainable pipelines.