Serpent.AI VS fiftyone

Compare Serpent.AI vs fiftyone and see what are their differences.

Serpent.AI

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own! (by SerpentAI)

fiftyone

The open-source tool for building high-quality datasets and computer vision models (by voxel51)
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Serpent.AI fiftyone
5 15
6,321 6,544
- 3.2%
0.0 10.0
over 2 years ago 7 days ago
Python Python
MIT License 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.

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.

fiftyone

Posts with mentions or reviews of fiftyone. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

What are some alternatives?

When comparing Serpent.AI and fiftyone 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

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

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

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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

ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.