lakshayg/tensorflow-build-archived resource
TensorFlow binaries supporting AVX, FMA, SSE observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3395
- days_rel: n/a
- days_push: 2402
- n_releases_24m: 0
Adoption not part of the score
1891 stars · 218 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An archived repository of prebuilt TensorFlow binary wheels compiled with SIMD instruction sets (AVX, FMA, SSE) for CPUs lacking official wheel support. It has moved to lakshayg/tensorflow-build and has not been updated since 2020.
Use cases
- install tensorflow on a cpu without avx support
- download prebuilt tensorflow wheels with fma enabled
- run tensorflow on older hardware without building from source
- find tensorflow binaries optimized for simd instructions
When to choose
- you need a legacy TensorFlow build for old CPUs on an unsupported platform
- you want to avoid compiling TensorFlow from source for an older machine
When to avoid
- you need current TensorFlow versions or security updates
- your CPU supports the official wheels
- you require an actively maintained project with a license
Facets
dataset · maturity abandoned
machine-learning llm-training machine-learning deep-learning developer-tools python tensorflow prebuilt-binaries simd avx fma sse pip-wheels archived linux macos
1 source
- readme: https://github.com/lakshayg/tensorflow-build-archived · fetched 2026-08-28 · 68c6940c840e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lakshayg/tensorflow-build-archived | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="lakshayg/tensorflow-build-archived")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem