GLU VS Game-Bot

Compare GLU vs Game-Bot and see what are their differences.

GLU

An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow. (by Rishit-dagli)

Game-Bot

Artificial intelligence learn playing any game with watching you. (by ardamavi)
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GLU Game-Bot
1 1
19 421
- -
0.0 0.0
about 1 year ago 12 months ago
Python Python
Apache License 2.0 Apache License 2.0
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.

GLU

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

Game-Bot

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

What are some alternatives?

When comparing GLU and Game-Bot you can also consider the following projects:

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

Conformer - An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples - Examples of python neural net and ML stock prediction methods with sample stock data.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle