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Title:
GitHub - dusty-nv/jetson-containers: Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Description:
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T - dusty-nv/jetson-containers
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17 years and 8 months (reg. 2007-10-09).
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Keywords {🔍}
container, jetsoncontainers, jetson, containers, run, packages, cuda, nvidia, build, pytorch, nanollm, code, diffusion, system, ltpytorch, orin, pull, autotag, jetpack, tools, transformers, llava, docker, navigation, commit, docs, readme, license, install, python, list, contributors, style, formatting, setting, package, nanoowl, nanodb, policy, stable, jetpacklt, building, setup, running, image, versions, multimodal, agx, resources, open,
Topics {✒️}
/dusty-nv/jetson-containers bash jetson-containers/install rm --network=host dustynv/l4t-pytorch machine learning containers latest ai/ml packages small language models run ros2 l4t-pytorch image autotag l4t-pytorch license jetson-ai-lab code style guide system setup page l4t-pytorch jetpack/l4t jetpack/l4t jetson-containers running containers cuda numba robotics jetson agx orin docker daemon jetson orin nano nvidia jetson 🚀🤖 nvidia jetson system setup pre-commit-config formatting tools adding llama-2-70b realtime multimodal vectordb interactive voice chat changing cuda versions runtime nvidia including pytorch nanoowl nanosam segment readme pykan kat xltsm xltsm mlstm_kernels speech easily combine packages similar environment variables memory/storage tuning ai community jetson orin dev/sbsa/cu129 request specific versions install cuda 12 mounted /data cache 04 containers containers 🤗 containers full list cuda support
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Questions {❓}
- Looking for the old jetson-containers?
- Want to run ROS2 with PyTorch and Transformers?
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