TorchGA
koila
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.
TorchGA
- PyGAD 2.13.0 Released! A Python 3 Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
-
Train PyTorch Models Using Genetic Algorithm with PyGAD
Link of the GitHub project that prepares the PyTorch models for use with PyGAD: https://github.com/ahmedfgad/TorchGA
The source code of the pygad.torchga module is available at the ahmedfgad/TorchGA GitHub project.
koila
-
How to fix CUDA out of memory with Koila?
but I always get CUDA out of memory . Long story short I found koila which should fix this issue, but I'm not sure how to add this to my code. in their page they have (input, label) = lazy(input, label, batch=0) but i kinda feel lost. can you help me please.
-
Pytorch CUDA out of memory persists after lowering batch size and clearing gpu cache
Having 53760 neurons takes much memory. Try adding more Conv2D layers or play with stride. Also, try .detach() to data and labels after training. Lastly, I would suggest to take a look at https://github.com/rentruewang/koila. Have not tried yet but it should be helpful.
-
[D] Would the 8gb VRAM of the 3060ti mean that some models in computer vision cannot be trained with it at all?
Tools like this can help: https://github.com/rentruewang/koila
-
[P] Dynamic batching for GPT-J API
You could take a look at how these guys are determining memory batch size limits... https://github.com/rentruewang/koila
- Koila: Prevent PyTorch's out of memory error with lazy evaluation
-
Solve PyTorch's `CUDA error: out of memory` in 1 line of code
Project Link
- Show HN: Solve `CUDA error: out of memory` in one line of code
What are some alternatives?
de-torch - Minimal PyTorch Library for Differential Evolution
torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
PySR - High-Performance Symbolic Regression in Python and Julia
bittensor - Internet-scale Neural Networks
snntorch - Deep and online learning with spiking neural networks in Python
gpt-j-api-huggingface
tributary - Streaming reactive and dataflow graphs in Python
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
thrash-protect - Simple-Stupid user-space program doing "kill -STOP" and "kill -CONT" to protect from thrashing. It works a bit like the ABS break on the car.