Show HN: Extract RSS feed from almost anything
2 by roks0n | 0 comments on Hacker News.
Howdy! RSSfeedASAP scratches my own itch. I run a regional podcasting directory which gets dozens of messy submission for podcasts. Often they don't even include an xml file and me being a good samaritan I sometimes do the manual work and find it myself. I got tired of that manual work and decided to build a microapp. RSSfeedASAP is this app and I decided to release it in case someone else finds any use in it.
Sunday, 3 September 2023
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Show HN: RESTful APIs from any data source
2 by ahmadanees | 0 comments on Hacker News.
I created a tool for developers that allow them to connect to data sources using the connection details and then get REST apis ready to use. It supports MySQL and Postgres for now and planning to add Google Sheets and other data sources later. It is free for now, so please signup and let me know what do you think. Just ignore the pricing.
2 by ahmadanees | 0 comments on Hacker News.
I created a tool for developers that allow them to connect to data sources using the connection details and then get REST apis ready to use. It supports MySQL and Postgres for now and planning to add Google Sheets and other data sources later. It is free for now, so please signup and let me know what do you think. Just ignore the pricing.
New Show Hacker News story: latest news
Show HN: A .bit gateway for resolving ipfs:// to https://
5 by billy42 | 3 comments on Hacker News.
bit.site dynamically captures all requests to *.bit.site, automatically resolving the IPFS/IPNS/Skynet content hashes for the corresponding .bit account records. It returns the relevant static content via HTTPS, enabling users to access decentralized networks with zero configuration on modern browsers. At the same time, we provide global CDN acceleration, striving to enhance the availability of decentralized content.
5 by billy42 | 3 comments on Hacker News.
bit.site dynamically captures all requests to *.bit.site, automatically resolving the IPFS/IPNS/Skynet content hashes for the corresponding .bit account records. It returns the relevant static content via HTTPS, enabling users to access decentralized networks with zero configuration on modern browsers. At the same time, we provide global CDN acceleration, striving to enhance the availability of decentralized content.
Saturday, 2 September 2023
New Show Hacker News story: latest news
Show HN: Modular Diffusion – A modular Python library for diffusion models
6 by secularchapel | 0 comments on Hacker News.
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.
6 by secularchapel | 0 comments on Hacker News.
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.
New Show Hacker News story: latest news
Show HN: Mini VI mode update of Aih for talking to AI models in terminal
3 by today072 | 1 comments on Hacker News.
Hi! We have a milestone update that introduces a mini VI mode for editing the inspirational quests to AI models by just type .v, then you have hjkl, wbyd... and :ai to send question, :q cancel it. As a thought2source tool, we believe that the next generation of user interface would be LUI which stands for Language User Interface. With this insight we think that VI mode is a wonderful tool for editing the representation of the profound thought--our languages's writing form besides the living voice. Enjoy and welcome feedback:)
3 by today072 | 1 comments on Hacker News.
Hi! We have a milestone update that introduces a mini VI mode for editing the inspirational quests to AI models by just type .v, then you have hjkl, wbyd... and :ai to send question, :q cancel it. As a thought2source tool, we believe that the next generation of user interface would be LUI which stands for Language User Interface. With this insight we think that VI mode is a wonderful tool for editing the representation of the profound thought--our languages's writing form besides the living voice. Enjoy and welcome feedback:)
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