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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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Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.
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A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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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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Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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A Modular Framework for Multi-Modal Tabular Learning.
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Graph Neural Network Library for PyTorch.
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Benchmarking Large Language Models.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
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Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
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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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CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.
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Implementing a ChatGPT-like LLM from scratch, step by step.