osumapper VS machine-learning-experiments

Compare osumapper vs machine-learning-experiments and see what are their differences.

osumapper

An automatic beatmap generator using Tensorflow / Deep Learning. (by kotritrona)
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osumapper machine-learning-experiments
4 8
407 1,605
- -
0.0 2.6
over 1 year ago 4 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

osumapper

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

machine-learning-experiments

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

What are some alternatives?

When comparing osumapper and machine-learning-experiments you can also consider the following projects:

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

lucid - A collection of infrastructure and tools for research in neural network interpretability.

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks

gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy

sign_language_detector