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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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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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CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.
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Statistics, data mining and machine learning toolbox in Java.
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A "machine learning framework to automate text-and voice-based conversations.".
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Fast and simple framework for building and running distributed applications.
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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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An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
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Restricted Boltzmann Machines in Python. [DEEP LEARNING].
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Extensible system for analyzing and manipulating natural language.
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Deep learning based facial detector for Python coming with facial landmarks.
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Testing infrastructure for LLM and agentic applications with collaborative evaluation.
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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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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,...).