Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Deepdrive | 845 | 10 months ago | 39 | other | Python | |||||
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving | ||||||||||
Tensorspark | 302 | 7 years ago | 5 | Python | ||||||
TensorFlow on Spark | ||||||||||
Tensorflow Gpu Install Ubuntu 16.04 | 296 | 5 years ago | 3 | |||||||
Tensorflow GPU install instructions for ubuntu 16.04 - Deep learning | ||||||||||
Python Machine Learning Docker | 77 | a year ago | 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. | ||||||||||
Tutorial Ubuntu 18.04 Install Nvidia Driver And Cuda And Cudnn And Build Tensorflow For Gpu | 71 | 6 years ago | apache-2.0 | |||||||
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line | ||||||||||
K8s Tensorflow | 64 | 7 years ago | 7 | Shell | ||||||
Computer Vision And Deep Learning Setup | 49 | 4 years ago | 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. | ||||||||||
Drowsydriverdetection | 39 | 6 years ago | 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. | ||||||||||
Ubuntu Deep Learning Environment Setup | 31 | 3 years ago | ||||||||
Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档 | ||||||||||
Notebooks | 30 | 5 months ago | 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: |