| nathtest/Tutorial-Ubuntu-18.04-Install-Nvidia-driver-and-CUDA-and-CUDNN-and-build-Tensorflow-for-gpu |
71 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
apache-2.0 |
|
| Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line |
| heethesh/Computer-Vision-and-Deep-Learning-Setup |
49 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
|
|
| Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04. |
| yehengchen/Ubuntu-Deep-Learning-Environment-Setup |
31 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
|
| Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档 |
| Tsai-Hyun-Joong/Ubuntu-18.04-RTX-2080-Ti-Driver-cuda-10.0-cudnn-7.0-tensorflow-gpu-Anaconda-Tutorial |
19 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
|
| This is a tutorial to configure the environment. |
| SixQuant/tensorflow-macos-gpu |
18 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
C |
| Tensorflow 1.8 with CUDA on macOS High Sierra 10.13.6 |
| gw0/docker-debian-cuda |
15 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
agpl-3.0 |
Dockerfile |
| Docker image: Debian 9 with CUDA Toolkit |
| NIH-HPC/gpu4singularity |
11 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
other |
Shell |
| Add GPU support to your Singularity container! |
| BestBurning/mhxy |
11 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
agpl-3.0 |
Python |
| tensorflow实践：梦幻西游人物弹窗识别 |
| matthewfeickert/nvidia-gpu-ml-library-test |
11 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
mit |
Python |
| Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up |
| dasGringuen/debian9-install |
8 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
|
| Debian 9 Stretch - installation notes |
