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Explore the skillJetson Inference
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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Fichiers fournis ici depuis le 14 octobre 2026. Une fois par compte connecté, Skill et jour UTC. Hors sites externes, copies de commandes et installations. Mise à jour sous 5 minutes.
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Explore the skilldusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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Explore the skillpytorch
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
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Explore the skillNVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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Explore the skillNVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
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Explore the skillTrace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
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Explore the skillLP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
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Explore the skillNVIDIA
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
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Explore the skillNVIDIA-Merlin
Merlin Models is a collection of deep learning recommender system model reference implementations