tributary
koila
Our great sponsors
| tributary | koila | |
|---|---|---|
| 3 | 7 | |
| 23 | 1,818 | |
| - | - | |
| 6.7 | 6.8 | |
| 3 months ago | 18 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
tributary
- Show HN: Mr. Graph. A graph deifnition and execution library for Python
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Show HN: Hamilton, a Microframework for Creating Dataframes
Having worked on "Dagger", you may be interested in https://github.com/timkpaine/tributary
- A simple lazy Python Calculation Engine (with spreadsheet demo)
koila
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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.
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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.
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[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
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[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
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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?
lazy-table - A python-tabulate wrapper for producing tables from generators
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
webssh - :seedling: Web based ssh client
torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
asyncauth - A powerful, simple, and async security library for Sanic. [Moved to: https://github.com/sunset-developer/sanic-security]
bittensor - Internet-scale Neural Networks
datajob - Build and deploy a serverless data pipeline on AWS with no effort.
gpt-j-api-huggingface
plugin.video.sendtokodi - :tv: plays various stream sites on kodi using youtube-dl
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
amyrose - A powerful, simple, and async authentication and authorization library for Sanic. [Moved to: https://github.com/sunset-developer/asyncauth]
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.