tensorexperiments
Boilerplate for GPU-Accelerated TensorFlow and PyTorch code on M1 Macbook (by alexfromapex)
cnn-benchmarks
Benchmarks for popular CNN models (by jcjohnson)
tensorexperiments | cnn-benchmarks | |
---|---|---|
1 | 1 | |
36 | 2,517 | |
- | - | |
0.0 | 10.0 | |
almost 2 years ago | over 6 years ago | |
Python | Python | |
- | 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.
tensorexperiments
Posts with mentions or reviews of tensorexperiments.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-18.
-
Accelerated PyTorch Training on M1 Mac
Since it's tangentially relevant, if you have an M1 Mac I've created [some boilerplate](https://github.com/alexfromapex/tensorexperiments) for working with the latest Tensorflow with GPU acceleration as well.
cnn-benchmarks
Posts with mentions or reviews of cnn-benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-18.
-
Accelerated PyTorch Training on M1 Mac
> ResNet > VGG: ResNet-50 is faster than VGG-16 and more accurate than VGG-19 (7.02 vs 9.0); ResNet-101 is about the same speed as VGG-19 but much more accurate than VGG-16 (6.21 vs 9.0).
https://github.com/jcjohnson/cnn-benchmarks#:~:text=ResNet%2....
What are some alternatives?
When comparing tensorexperiments and cnn-benchmarks you can also consider the following projects:
neural-engine - Everything we actually know about the Apple Neural Engine (ANE)
tensorflow-wheels - Tensorflow Wheels
pytorch-apple-silicon-benchmarks - Performance of PyTorch on Apple Silicon
pytorch-apple-silicon-benchm
tensorexperiments vs neural-engine
cnn-benchmarks vs neural-engine
tensorexperiments vs tensorflow-wheels
cnn-benchmarks vs pytorch-apple-silicon-benchmarks
tensorexperiments vs pytorch-apple-silicon-benchmarks
cnn-benchmarks vs pytorch-apple-silicon-benchm
tensorexperiments vs pytorch-apple-silicon-benchm