| deepdrive/deepdrive |
845 |
|
0 |
0 |
over 2 years ago |
0 |
|
39 |
other |
Python |
| Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving |
| adatao/tensorspark |
302 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
|
Python |
| TensorFlow on Spark |
| williamFalcon/tensorflow-gpu-install-ubuntu-16.04 |
296 |
|
0 |
0 |
about 7 years ago |
0 |
|
3 |
|
|
| Tensorflow GPU install instructions for ubuntu 16.04 - Deep learning |
| tiangolo/python-machine-learning-docker |
77 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Dockerfile |
| Docker image with Python 3.6 and 3.7 using Conda, with CUDA variants. To serve as base image for Machine Learning projects. |
| 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 |
| k8sp/k8s-tensorflow |
64 |
|
0 |
0 |
over 8 years ago |
0 |
|
7 |
|
Shell |
| 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. |
| nishagandhi/DrowsyDriverDetection |
39 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
Python |
| This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy. |
| 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 |
| rlan/notebooks |
30 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
Dockerfile |
| A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags: |
