Conversations VS ML-University

Compare Conversations vs ML-University and see what are their differences.

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Conversations ML-University
1 6
3 802
- -
0.0 3.4
over 1 year ago 7 months ago
HTML HTML
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.

Conversations

Posts with mentions or reviews of Conversations. We have used some of these posts to build our list of alternatives and similar projects.

ML-University

Posts with mentions or reviews of ML-University. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-20.

What are some alternatives?

When comparing Conversations and ML-University you can also consider the following projects:

gpt-j - A GPT-J API to use with python3 to generate text, blogs, code, and more

ai-deadlines - :alarm_clock: AI conference deadline countdowns

nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

overlays - MarketerBay Overlays. Sandbox open source projects.

Sherlock - Natural-language event parser for Javascript

Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models

botfuel-dialog - Botfuel SDK to build highly conversational chatbots

human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)

BotLibre - An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

golang-training - Golang for Backend Developer with Nordic Coder

CS7038-Malware-Analysis - Course Repository for University of Cincinnati Malware Analysis Class (CS[567]038)

Recognition-of-logical-document-structures - First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.