daddydrac/-deprecated-NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, PyTorch geometric for Graph Neural Networks, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
This tool helps machine learning engineers and researchers accelerate their computer vision and deep learning tasks on NVIDIA GPUs. It provides a pre-configured environment with popular frameworks like PyTorch and TensorFlow, along with GPU-optimized libraries. Users input their machine learning code and data, and the output is faster model training and inference.
157 stars. No commits in the last 6 months.
Use this if you are a deep learning practitioner working with computer vision models and need a robust, pre-configured environment to leverage NVIDIA GPUs and Tensor Cores for accelerated performance.
Not ideal if you are new to deep learning or Docker, or if you prefer a simpler, more abstract machine learning platform.
Stars
157
Forks
23
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 28, 2023
Commits (30d)
0
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