program-y
Python 3.x based AIML 2.0 Chatbot interpreter, framework, related programs and knowledge files (by keiffster)
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. (by chiphuyen)
program-y | stanford-tensorflow-tutorials | |
---|---|---|
1 | 2 | |
347 | 9,845 | |
- | - | |
2.8 | 0.0 | |
28 days ago | over 3 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT 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.
program-y
Posts with mentions or reviews of program-y.
We have used some of these posts to build our list of alternatives
and similar projects.
-
I Created A Chatbot - Please Test It
There is no ML involved, AIML is more like a database search with various trees/branches. The program for that part is open source, see https://github.com/keiffster/program-y and it includes code to put it in the web (like using Flask).
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?