awesome-artificial-intelligence-research VS machine-learning-resources

Compare awesome-artificial-intelligence-research vs machine-learning-resources and see what are their differences.

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awesome-artificial-intelligence-research machine-learning-resources
1 14
112 381
- 0.0%
0.0 0.0
over 1 year ago about 1 year ago
- 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-artificial-intelligence-research

Posts with mentions or reviews of awesome-artificial-intelligence-research. We have used some of these posts to build our list of alternatives and similar projects.

machine-learning-resources

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

What are some alternatives?

When comparing awesome-artificial-intelligence-research and machine-learning-resources you can also consider the following projects:

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

tech-conferences-india - A comprehensive list of tech conferences in India :india:

ai-deadlines - :alarm_clock: AI conference deadline countdowns

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-python-data-science - Probably the best curated list of data science software in Python.

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

webrtc-video-conference-tutorial - This is a tutorial for building a video conference application

must-read-ai-papers - A collection of must-read AI-related papers

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

datascience - Curated list of Python resources for data science.