awesome-courses VS Serpent.AI

Compare awesome-courses vs Serpent.AI and see what are their differences.

awesome-courses

:books: List of awesome university courses for learning Computer Science! (by prakhar1989)

Serpent.AI

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own! (by SerpentAI)
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awesome-courses Serpent.AI
8 5
53,232 6,321
- -
0.0 0.0
11 months ago over 2 years ago
Python
- 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.

awesome-courses

Posts with mentions or reviews of awesome-courses. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-25.

Serpent.AI

Posts with mentions or reviews of Serpent.AI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-14.

What are some alternatives?

When comparing awesome-courses and Serpent.AI you can also consider the following projects:

Caffe2

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Porcupine   - On-device wake word detection powered by deep learning

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Projects - :page_with_curl: A list of practical projects that anyone can solve in any programming language.

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

Caffe - Caffe: a fast open framework for deep learning.

neptune-client - :ledger: The MLOps stack component for experiment tracking

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

fiftyone - The open-source tool for building high-quality datasets and computer vision models

PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks