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An open-source framework by NVIDIA for building speech AI systems, including automatic speech recognition and text-to-speech. opensource.
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Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
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Model viewer for inspecting neural network architecture files from many machine learning frameworks.
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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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A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Automated ML tool that optimizes machine learning pipelines using genetic programming.
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Uniform deep learning inference framework for mobile, desktop and server.
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Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
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Example of how the neural network learns to predict the angle between two points created with Synaptic.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
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A neuro-symbolic framework for building applications with LLMs at the core.
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DSPy: The framework for programming — not prompting — foundation models.
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A library for email Spam filtering built on top of NLTK.
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Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
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Robust Bayesian Optimization framework.
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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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Fast and simple framework for building and running distributed applications.
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A "machine learning framework to automate text-and voice-based conversations.".
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A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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A Modular Framework for Multi-Modal Tabular Learning.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration.