generated from mathias/template-go-web
df910e4336b7fabfda746f1421bb51ae7fc835b2
scripts/check_gpu.py verifies PyTorch cu130 sees the koala Blackwell GPU (sm_120) and computes — the Phase-0 prerequisite before any autoresearch experiment. Verified green: torch 2.12.1+cu130, RTX 5070, GPU matmul OK. Note: koala GPU is shared with the llama-swap LLM stack — run the autoresearch agent on iguana/berget so the card stays free for train.py. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Generated from
mathias/template-go-web.
Bootstrap
After creating from template, run:
go mod tidy # regenerate go.sum with real module path
task generate # generate templ files
task build # build the binary
Description
JEPA-based latent representation learning for FX trading risk management — research project
370 KiB
Languages
Python
76.4%
Go
18.4%
Shell
4.3%
templ
0.6%
Dockerfile
0.3%