Dataset-tools Alternatives

Similar projects and alternatives to dataset-tools

pix2pix

13 9,859 0.0 Lua dataset-tools VS pix2pix

Image-to-image translation with conditional adversarial nets
stylegan2-ada-pytorch

5 242 0.0 Jupyter Notebook dataset-tools VS stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation (by dvschultz)
InfluxDB

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Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better dataset-tools alternative or higher similarity.

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dataset-tools reviews and mentions

Posts with mentions or reviews of dataset-tools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-10.

This Olesya Doesn't Exist — I trained StyleGAN2-ADA on my photos to generate new selfies of me
2 projects | /r/artificial | 10 Sep 2021

I made it automatically with a dataset tool. Here is the link: https://github.com/dvschultz/dataset-tools
trained the model based on dark art sketches. got such bizarre forms of life
2 projects | /r/deepdream | 2 Jul 2021

I am very glad that my work aroused interest. Thank you all! I will try to answer the questions. How did i create this? I collected a dataset of about 600 images of dark art sketches, processed them so that they would be suitable for training in the StyleGAN2-ada (resized to 1024x1024, edited something a little, made sure that all images have 3 channels). Mainly used photoshop, also Duplicate Photos Fixer Pro to find duplicates, and also I highly recommend Derek's dataset-tools for preparing datasets. Then the dataset was archived, uploaded to GoogleDrive and added to Google Colab for training. I had to subscribe to the Colab Pro because the free version could not start training due to lack of memory. A pro subscription costs $10 per month and provides advantages in capacity and uptime. More about working with Google Colab can be found here. I'm a beginner myself, so no secret techniques have been applied. In fact, everything is as in the video tutorial. Training took place about 30 hours, partly at Tesla P100 and partly on a more powerful Tesla V100. I have not written anywhere an article about this project because I do not speak English very well. And there is not much to write about, everything is simple. In the future I will probably post the .pkl file to the public.