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Works with speech, voice, music or other audio using machine-learning models.
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Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
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Python library for automatic extraction of relevant features from time series.
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A Java implementation of Twitter's text processing library.
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Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
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Minimize LLM token complexity to save API costs and model computations.
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"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".
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Minimalist neural network library optimized for sparse data and single machine environments.
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AutoML algorithm tool chain by Huawei Noah's Arb Lab.
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Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.
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Store, search, organize and make machine-learned inferences over big data at serving time.
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Some of the python libraries were cut-and-pasted from.
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Machine Learning Operations - An awesome list of references for MLOps.
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A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
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Cloud Native Batch System (Project under CNCF).
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
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An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
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Tokenizers for Natural Language Processing in Julia.
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Word Embeddings: the full implementation of word2vec, GloVe in Go.
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A Julia package for Princeton's WordNet.
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An Autonomous LLM Agent for Complex Task Solving.
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.
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Build and control your personal LLMs with fast and efficient fine-tuning.