flopth VS TorchGA

Compare flopth vs TorchGA and see what are their differences.

flopth

A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API. (by vra)
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flopth TorchGA
1 3
112 86
- -
5.5 4.3
5 months ago 11 months 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.

flopth

Posts with mentions or reviews of flopth. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-16.

TorchGA

Posts with mentions or reviews of TorchGA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-12.

What are some alternatives?

When comparing flopth and TorchGA you can also consider the following projects:

cutlass - CUDA Templates for Linear Algebra Subroutines

koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

de-torch - Minimal PyTorch Library for Differential Evolution

PySR - High-Performance Symbolic Regression in Python and Julia

snntorch - Deep and online learning with spiking neural networks in Python

bittensor - Internet-scale Neural Networks

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

pycox - Survival analysis with PyTorch

torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

tinysleepnet - TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

torchinfo - View model summaries in PyTorch!