stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. (by chiphuyen)
stanford-openie-python
Stanford Open Information Extraction made simple! (by philipperemy)
| stanford-tensorflow-tutorials | stanford-openie-python | |
|---|---|---|
| 2 | 1 | |
| 9,845 | 682 | |
| - | 0.0% | |
| 0.0 | 4.3 | |
| over 5 years ago | over 2 years ago | |
| Python | Python | |
| MIT License | ISC License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stanford-tensorflow-tutorials
Posts with mentions or reviews of stanford-tensorflow-tutorials.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-30.
-
Rim Dillon
I’m not sure how to tell you this in a way that won’t deflate your outrage boner, but Stanford uses master in code: https://github.com/chiphuyen/stanford-tensorflow-tutorials
- [D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
stanford-openie-python
Posts with mentions or reviews of stanford-openie-python.
We have used some of these posts to build our list of alternatives
and similar projects.
-
“[Project]” Manual Annotation Tool for Relation Extraction
What would your relation look like? If it going to be rather abstract like a relation in a knowledge base (e.g., per:child_of)? Or is it okay if it's more free form? If it's the latter then I'd recommend looking at open information extraction tools. There's a Python implementation of Stanford's OpenIE system from 2015 here and there are other works that have open-sourced their code.
What are some alternatives?
When comparing stanford-tensorflow-tutorials and stanford-openie-python you can also consider the following projects:
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
unrpa - A program to extract files from the RPA archive format.
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
baresipy - baresip python wrapper
elon-bot - Discord AI bot capable of chatting and moderating, trained on conversation transcripts of Elon Musk
python-sutime - Python wrapper for Stanford CoreNLP's SUTime