https://github.com/sjain-stanford/wrkstn-setup

Deep learning workstation setup for RHEL/Ubuntu with Tensorflow/Keras/PyTorch and NVIDIA GeForce GTX 1080 Ti.
https://github.com/sjain-stanford/wrkstn-setup

deep-learning gpu keras linux-workstation-setup neural-network nvidia pytorch tensorflow workstation

Last synced: about 2 months ago
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Deep learning workstation setup for RHEL/Ubuntu with Tensorflow/Keras/PyTorch and NVIDIA GeForce GTX 1080 Ti.

• Host: GitHub
• URL: https://github.com/sjain-stanford/wrkstn-setup
• Owner: sjain-stanford
• Created: 2017-11-11T04:12:10.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-02-13T22:19:46.000Z (almost 6 years ago)
• Last Synced: 2024-10-19T08:15:23.587Z (3 months ago)
• Topics: deep-learning, gpu, keras, linux-workstation-setup, neural-network, nvidia, pytorch, tensorflow, workstation
• Homepage:
• Size: 4.31 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
### Linux workstation setup with Tensorflow/Keras/PyTorch and NVIDIA GPU.

#### Redhat Linux [README](RHEL_README.md)

```

RHEL 6.8 (with default gcc 4.4.7)

CUDA 8.0

cuDNN 6.0

python 3.6.3 (Anaconda)

gcc 4.8.4 (built from source)

bazel 0.5.4 (built from source)

tensorflow-gpu r1.3 (built from source)

```

#### Ubuntu Linux [README](Ubuntu_README.md)

```

Ubuntu 16.04.3 LTS

CUDA 8.0

cuDNN 6.0

python 3.5.2 (default with Ubuntu)

gcc 5.4.0 (default with Ubuntu)

bazel 0.5.4 (installed from binary)

tensorflow-gpu r1.4 (pip installed from binary)

keras 2.1.1 (pip installed from binary)

pytorch 0.2.0 (pip installed from binary)

torchvision 0.1.9 (pip installed from binary)

jupyter 4.4.0 (pip installed from binary)

```

#### Custom TF for Ubuntu Linux [README](Custom_TensorFlow_README.md)

```

Ubuntu 16.04.3 LTS

python 3.6

gcc 5.4.0 (default with Ubuntu)

bazel 0.15.0 (installed from binary)

tensorflow-gpu r1.12 (custom build from source)

```