Tensorflow Triplet Loss
omoindrot
Implementation of triplet loss in TensorFlow
OPENAGENTSKILL / DIRECTORY
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Results: 24
omoindrot
Implementation of triplet loss in TensorFlow
agiprolabs
Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types
OthmanAdi
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic…
QuivrHQ
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
trailofbits
Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM +…
MengTo
Build or repair game inventory, loot, equipment, tooltips, drag-and-drop, persistence, and progression systems. Use for item schemas, pickup flows, stack rules, equipmen…
TheGreenCedar
A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build spe…
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 <…
AlphaGBM
Record and track the "why I bought" and "when I sell" for each position. Each thesis is attached to a company profile: buy reasons in prose, sell conditions as structure…
AlphaGBM
P&L simulation engine for any single-leg or multi-leg option position. Generates profit/loss diagrams at expiry, P&L over time, what-if scenarios (price, IV, time), brea…
thingsboard
The ultimate distributed MQTT broker. Handles 100M+ connections and 10M msg/sec with ease. Built on Kafka to provide industrial-grade persistence and eliminate data loss.
tjboudreaux
Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.
Kulaxyz
Always-on token-efficiency skill for coding agents (Claude Code, Codex, Cursor, Windsurf, Cline). ~31% lower bill on average, no loss of correctness.
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…
vincentkoc
🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or as an extension to popular coding and agent frameworks.
sangrokjung
Measure and shrink the always-loaded context of a Claude Code harness (CLAUDE.md + rules without paths frontmatter) back under budget — migrate narrative to reference fi…
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