awesome-ai
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project) (by hades217)
exploring-AI-optimization
Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀 (by nebuly-ai)
| awesome-ai | exploring-AI-optimization | |
|---|---|---|
| 2 | 22 | |
| 440 | 109 | |
| - | 0.0% | |
| 4.4 | 3.8 | |
| 11 days ago | 7 months ago | |
| MIT License | 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.
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-ai
Posts with mentions or reviews of awesome-ai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-26.
exploring-AI-optimization
Posts with mentions or reviews of exploring-AI-optimization.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-27.
- Collection of material on optimizing deep learning models
- Collection of material on optimization techniques for neural networks
- Collection of resources on quantization
-
[P] Open source that takes as input a deep learning model and outputs a version that runs faster in inference. Now faster and easier to use (New release)
[1] Quantization. Techniques and Concept Map. [2] Pruning. Techniques and Concept Map. [3] ONNX Runtime [4] Nvidia TensorRT [5] Intel OpenVINO [6] Apache TVM
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Accelerating AI models online discussion
https://github.com/nebuly-ai/learning-AI-optimization/blob/main/Pruning.md here you have open source collection of material on the topic :)
- What is pruning a neural network? A guide on github. Feedback is welcome!
-
[P] Concept maps and research material on artificial intelligence optimization techniques (pruning and quantization). A guide on GitHub
Quantization github maps
What are some alternatives?
When comparing awesome-ai and exploring-AI-optimization you can also consider the following projects:
awesome-generative-ai - A curated list of modern Generative Artificial Intelligence projects and services
nebuly - The user analytics platform for LLMs
best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
prunnable-layers-pytorch - Prunable nn layers for pytorch.
Data-science-best-resources - Carefully curated resource links for data science in one place