- Web Wormhole https://webwormhole.io/ https://github.com/saljam/webwormhole
- Localsend https://web.localsend.org/
- FilePizza https://file.pizza/
ShareDrop sharedrop.io https://github.com/szimek/sharedrop(SOLD, not recommended, use one of the forks)A clone SnapDrop snapdrop.net https://github.com/RobinLinus/snapdrop(SOLD, not recommended, use one of the forks)- A fork PairDrop https://pairdrop.net/ https://github.com/schlagmichdoch/pairdrop
- ToffeeShare https://toffeeshare.com/
- Instant.io https://instant.io/
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| # THIS LINUX SETUP SCRIPT HAS MORPHED INTO A WHOLE PROJECT: HTTPS://OMAKUB.ORG | |
| # PLEASE CHECKOUT THAT PROJECT INSTEAD OF THIS OUTDATED SETUP SCRIPT. | |
| # | |
| # | |
| # Libraries and infrastructure | |
| sudo apt update -y | |
| sudo apt install -y \ | |
| docker.io docker-buildx \ | |
| build-essential pkg-config autoconf bison rustc cargo clang \ |
Updated 4/11/2018
Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown: