Article URL: https://theferret.scot/pesticide-safety-limit-industry-lobbying/
Comments URL: https://news.ycombinator.com/item?id=37370453
Points: 33
# Comments: 1
This is a side project I've been working on for the last few months. I built an automated system to continuously mirror all the code on PyPI to a series of Github repositories. Mirroring PyPI code to Github enables:
1. Scanning of all new Python packages for accidentally published credentials
2. A browsable/searchable index of published code with a nice UI
3. Large-scale analysis of all published code to see how the language is evolving
Using this project anyone is able to download the contents of PyPI to their personal machine and analyse every piece of code ever published in a matter of hours.
I hope it enables people to do things with the worlds largest and oldest corpus of Python code that wasn't possible before, and while this is likely totally useless to most people I think that is kind of cool and unique.
Comments URL: https://news.ycombinator.com/item?id=37364290
Points: 19
# Comments: 5
Article URL: https://blog.yossarian.net/2023/07/27/Introducing-shaq-a-CLI-for-shazam
Comments URL: https://news.ycombinator.com/item?id=37364124
Points: 19
# Comments: 4
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code.
The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available.
Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible).
I would really appreciate your feedback.
Comments URL: https://news.ycombinator.com/item?id=37361736
Points: 4
# Comments: 0
Share your information if you are looking for work. Please use this format:
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Comments URL: https://news.ycombinator.com/item?id=37351665
Points: 36
# Comments: 95