quantized-nets
Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments. (by yashkant)
trained-ternary-quantization
Reducing the size of convolutional neural networks (by TropComplique)
quantized-nets | trained-ternary-quantization | |
---|---|---|
1 | 1 | |
23 | 109 | |
- | - | |
- | - | |
over 5 years ago | over 6 years ago | |
Python | Jupyter Notebook | |
- | 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.
quantized-nets
Posts with mentions or reviews of quantized-nets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-28.
-
The Era of 1-bit LLMs: ternary parameters for cost-effective computing
People have been doing this 6 years ago.
https://github.com/yashkant/quantized-nets
trained-ternary-quantization
Posts with mentions or reviews of trained-ternary-quantization.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-28.
-
The Era of 1-bit LLMs: ternary parameters for cost-effective computing
https://github.com/TropComplique/trained-ternary-quantization