dlgo

Golang inference engine and deep learning primitives

AI & Machine Learning Learning & Reference

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3Distinct people

12Mentions

0Explicit recommenders

46GitHub stars

REPOSITORY AT A GLANCE

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What it is

Golang inference engine and deep learning primitives

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:00:59 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month12 dated mentions

Observed mentions: 2026-03-07 00:49:20 UTC to 2026-10-18 02:08:39 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
Mar 2026	2026-03-01 00:00:00 UTC	2026-04-01 00:00:00 UTC	5	2	3
Apr 2026	2026-04-01 00:00:00 UTC	2026-05-01 00:00:00 UTC	0	0	0
May 2026	2026-05-01 00:00:00 UTC	2026-06-01 00:00:00 UTC	1	0	1
Jun 2026	2026-06-01 00:00:00 UTC	2026-07-01 00:00:00 UTC	1	0	1
Jul 2026	2026-07-01 00:00:00 UTC	2026-08-01 00:00:00 UTC	0	0	0
Aug 2026	2026-08-01 00:00:00 UTC	2026-09-01 00:00:00 UTC	0	0	0
Sep 2026	2026-09-01 00:00:00 UTC	2026-10-01 00:00:00 UTC	0	0	0
Oct 2026	2026-10-01 00:00:00 UTC	2026-11-01 00:00:00 UTC	5	1	4

What Hacker News says

5 sources

computerex·Oct 18, 2026

OpenAI subscriptions are shit tier. Deepseek does 90% of what I need to do for pennies. There is no comparison. And I’m talking about working on relatively hard domain like gpu kernel optimisation and HPC https://github.com/computerex/dlgo If you want your 5h usage to runout in one call feel free to use OpenAI

In DeepSeek-v4.1-Flash-1017

skissane·Oct 15, 2026

Suggestions: - add to your README links to download the relevant .gguf files – I assume from HuggingFace? - or even implement your own equivalent of `ollama pull`/`list`/`rm`/etc - add some CI using Github Actions (or an alternative if you prefer) - as well as `go install github.com/computerex/dlgo/cmd/dlgo@latest`, also document `go install github.com/computerex/dlgo/cmd/dlgo-vision@latest`, `go install github.com/computerex/dlgo/cmd/dlgo-image@latest`, etc (obvious to anyone experienced with Go, not to many inexperienced with it) actually, I try running `go install github.com/computerex/dlgo/cmd/...@latest` on my Mac and I get a lot of errors; some of them are because `cmd/gpu-watchdog` is trying to use Windows-specific APIs (e.g. `syscall.NewLazyDLL`) even on macOS

In We’re releasing Jev 1.14.0 along with experimental features for dreamers

computerex·Oct 14, 2026

Shameless plug to my own inference engine: https://github.com/computerex/dlgo - Inference for a bunch of open weights architectures - Diffusion image generation fir Z ai turbo - Vision input into LLM for inference - Vulkan/fast CPU, optimized kernels - Playground for testing - Last but not least, system one fast inference mode with same API semantics as Jev Decision models work by using a backbone model like qwen 3.5 9b, along with a special linear head that provides the readout for the forward pass.

In We’re releasing Jev 1.14.0 along with experimental features for dreamers

pancsta·Oct 14, 2026

The feature set looks great (especially Jev), but GPU still goes via CGo from what I can see https://github.com/computerex/dlgo/blob/main/gpu/gpu_cgo.go which makes yzma an easier option.

In Show HN: Golang DL/ML primitives with inference, diffusion, vision, systemone

computerex·Oct 14, 2026Submission

Show HN: Golang DL/ML primitives with inference, diffusion, vision, systemone

I created a DL inference engine that slowly grew to have more and functionality. - Inference for a bunch of open weights architectures - Diffusion image generation fir Z ai turbo - Vision input into LLM for inference - Vulkan/fast CPU, optimized kernels - Playground for testing - Last but not least, system one fast inference mode with same API semantics as Jev It's MIT, so go nuts

3 points · Open discussion