Viewing profile — warangal

VITS is such a cool model (and paper), fast, minimal, trainable. Meta took it to extreme for about 1000 languges. It seems like you have been working on this application for someti…

I may be wrong here, but blog-post seems AI written, with repetition of sequences like "the inference pipeline was rebuilt using architecture-aware fused kernels, optimized schedul…

pretty cool work! Though it leaves me wondering if coreboot/bios code can directly interface with thermal-management and battery controller , shouldn't it be feasible to improve up…

I was also reading through lobsters Memory management, which (i think) currently implements "borrow first" semantics, to do away with a lot of run-time reference counting logic, wh…

How do you market it, through social-media or are there dedicated channels for sharing awareness for such Mac Apps, if you don't mind sharing?

I work on an image search engine[0], main idea has been to preserve all the original meta-data and directory structure while allowing semantic and meta-data search from a single in…

Currently (Semantic) ML model is the weakest (minorly fine-tuned) ViT B/32 variant, and more like acting as a placeholder i.e very easy to swap with a desired model. (DINO models h…

Hi, Author here! I have been working on this project for quite some time now. Even though for such search engines, basic ideas remain the same i.e extracting meta-data or semantic …

Using `zig-cc (clang)` to set a particular `LibC` version is one of the best decisions i have made, and saved me from those meaningless libC mismatch errors!

I know it may be not what you are looking for, but most of such models generate multiple-scale image features through an image encoder, and those can be very easily fine-tuned for …

Pretty cool project!, I have been also trying to do something similar with very limited (abstract) OPs akin to fundamental computer instructions. Just using the numpy backend for n…

A bit tangential statement, about parakeet and other Nvidia Nemo models, i never found actual architecture implementations as pytorch/tf code, seems like all such models, are insta…

Nice write up! It is about speeding up underlying hash-table for a `cuckoo filter` , as in false-positives are allowed, unlike data-structure like dictionary, which makes sure that…

Thanks for explaining it, given you are writing it from scratch it gives you a lot of control in modelling a particular feature! I did bookmark this project a few months ago but co…

Are you trying to do this message passing using Nim channels ? For my use-cases, i always had to resort to just passing `pointers`, to prevent any copying, most of time i just divi…

for images readme is at: https://github.com/eagledot/hachi/tree/main/images/readme.md with more than enough details! It is supposed to be a search engine for all modalities, for no…

Disclaimer: I work on such a project[0] I think a combination of CLIP and some face-recognition may solve your issues! It just takes a path to your directory, and can index all the…

Yes, trigram mainly but also bigram and/or combination of both are used generally to implement fuzzy search, zoekt also uses trigram index. But such indices depend heavily on the c…

I myself have been working on a personal search engine for sometime, and one problem i faced was to have an effective fuzzy-search for all the diverse filenames/directories. All ap…

Embeddings capture a lot of semantic information based on the training data and objective function, and can be used independently for a lot of useful tasks. I used to use embedding…