Tensorflow Triplet Loss
omoindrot
Implementation of triplet loss in TensorFlow
ResearchReview before use
1.1KGitHub
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peft-fine-tuning
OpenRaiser
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <…
ResearchClaude Code
1.4KGitHub
Mira OSS
taylorsatula
This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt compose…
464GitHub
old-coder
AmazingAng
Evidence-first development — surround the implementation with an executable spec and a gauntlet of constraints (tests, types, coverage, mutation) so line-by-line review…
ResearchClaude Code
710GitHub
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