exploring-AI-optimization
Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀 (by nebuly-ai)
inference-engine
A deep learning library for use in high-performance computing applications in modern Fortran (by BerkeleyLab)
| exploring-AI-optimization | inference-engine | |
|---|---|---|
| 22 | 1 | |
| 109 | 22 | |
| 0.0% | - | |
| 3.8 | 9.5 | |
| 8 months ago | 11 days ago | |
| Fortran | ||
| MIT License | GNU General Public License v3.0 or later |
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.
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
-
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
inference-engine
Posts with mentions or reviews of inference-engine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-22.
-
Fortran 2023 has been published
A few more:
https://github.com/modern-fortran/neural-fortran (disclaimer, I originally created this one)
https://github.com/BerkeleyLab/inference-engine
https://git.exeter.ac.uk/hepplestone/athena
What are some alternatives?
When comparing exploring-AI-optimization and inference-engine you can also consider the following projects:
nebuly - The user analytics platform for LLMs
fastGPT - Fast GPT-2 inference written in Fortran
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.
llm.f90 - LLM inference in Fortran