This is a fork from https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
Thanks the original author Adam Pritchard for the generous sharing!
Winnerineast Lee winnerineast
sebleier
/ NLTK's list of english stopwords
Created
August 27, 2010 22:04
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| i | |
| me | |
| my | |
| myself | |
| we | |
| our | |
| ours | |
| ourselves | |
| you | |
| your |
mommi84
/ awesome-kge.md
Last active
April 21, 2026 13:52
Awesome Knowledge Graph Embedding Approaches
This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.
- 🆕 AmpliGraph (4 algorithms) @ https://github.com/Accenture/AmpliGraph
- Embedding framework (5 algorithms) @ https://github.com/BookmanHan/Embedding
philster
/ tensorflow_macos_sse41_sse42_avx_avx2_fma_cuda.md
Last active
January 8, 2019 11:21
Build TensorFlow 1.3 with SSE4.1/SSE4.2/AVX/AVX2/FMA and NVIDIA CUDA support on macOS Sierra 10.12
Build TensorFlow 1.3 with SSE4.1/SSE4.2/AVX/AVX2/FMA and NVIDIA CUDA support on macOS Sierra 10.12 (updated October 5, 2017)
These instructions were inspired by Mistobaan's gist, ageitgey's gist, and mattiasarro's tutorial.
I always encountered the following warnings when running my scripts using the precompiled TensorFlow Python package:
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] Th
winnerineast
/ install_caffe.sh
Created
October 3, 2017 17:52
— forked from doctorpangloss/install_caffe.sh
Installing Caffe on Mac 10.11.5 and later in the 10.11 series, and 10.12.1 and later in the 10.12 series
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/bin/sh | |
| # Install brew | |
| /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" | |
| # Apple hides old versions of stuff at https://developer.apple.com/download/more/ | |
| # Install the latest XCode (8.0). | |
| # We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew. | |
| # So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after | |
| # you have installed caffe. | |
| # Install CUDA toolkit 8.0 release candidate | |
| # Register and download from https://developer.nvidia.com/cuda-release-candidate-download |
As it says here, https://github.com/facebookresearch/detectron2/blob/master/INSTALL.md we need to install a few modules before installing detectron.
The only part can be difficult is to install pytorch on TX2 since TX2 is aarch64 architecture, the installation instructions on pytorch website do not work. We need to install via this page: https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/
To upgrade pyyaml, just pip3 install pyyaml --ignore-installed
Also you might want to keep using python3 and pip3 to avoid using python2