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born-ml / born

Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.

Why this job: matched by what the repo talks about: gpu, model, pure, framework

Born ML Framework - Inspired by Burn

What it does

  • Pure Go. No CGO dependencies, trivial cross-compilation
  • Type Safe. Generics-powered API for compile-time guarantees
  • Autodiff. Automatic differentiation via decorator pattern
  • Production Ready. Single binary deployment, fast startup
  • WebAssembly. Run inference in browsers natively (core tensor has zero platform-specific code)

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 6 days ago
Stars
141
+3 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.9.24
Released 48 days ago
Built with
Go
99% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
93% closed
2 still open
Pull requests
118 merged
0 waiting
Releases
58
30+ in the last year

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More: languages, topics and project record

Languages

  • Go 99%
  • Assembly 1%
  • Shell <1%
  • Makefile <1%

Topics

  • autodiff
  • automatic-differentiation
  • cpu-backend
  • cross-platform
  • deep-learning
  • go
  • golang
  • high-performance
  • machine-learning
  • neural-networks
  • pure-go
  • tensor

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits246
  • Forks21
  • Watching2
  • Stars in 28 days+4
  • CreatedNov 17, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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