TextWorld VS TensorFlow-Tutorials

Compare TextWorld vs TensorFlow-Tutorials and see what are their differences.

TextWorld

โ€‹TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games. (by microsoft)
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TextWorld TensorFlow-Tutorials
1 2
1,154 9,250
0.6% -
7.8 0.0
3 months ago over 3 years ago
Jupyter Notebook Jupyter Notebook
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.

TextWorld

Posts with mentions or reviews of TextWorld. We have used some of these posts to build our list of alternatives and similar projects.
  • A choose your own adventure writing and reading platform
    1 project | /r/SideProject | 9 Mar 2021
    I have been looking into creating something like that, but using AI to generate the stories, to add to my site at https://boredhumans.com . I already have an AI-powered story generator there, but it is not interactive. I was also looking at creating interactive stories using https://parl.ai/projects/light/ or https://github.com/microsoft/TextWorld , both of which use AI and are open source. But those are like AI Dungeon (https://play.aidungeon.io) and not regular stories.

TensorFlow-Tutorials

Posts with mentions or reviews of TensorFlow-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-20.

What are some alternatives?

When comparing TextWorld and TensorFlow-Tutorials you can also consider the following projects:

evennia - Python MUD/MUX/MUSH/MU* development system

car-damage-detection - Detectron2 for car damage detection using custom dataset

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

trax - Trax โ€” Deep Learning with Clear Code and Speed

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

nn - ๐Ÿง‘โ€๐Ÿซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

Practical_RL - A course in reinforcement learning in the wild

FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐Ÿ”ฅ We release the trained model on HuggingFace.

m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.