TranslatedDeepSeek Harness integrated armor-breaking security analysis plugin: aggregating all domains of Android · Web · Native · Protocol · Malware · AI-Security (9 bundles + 1 preset)
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This project is a plugin that supports ChatGPT running on JetBrains series IDE.
- chatgpt
- chatgpt-jetbrains
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
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TranslatedAI Cross-Border E-commerce Operations Agent Toolkit · Breaks operations SOPs down into 7 reusable AI Agent workflows, including prompts, templates, and real-world cases
TranslatedCopy-ready prompts & 54 cases of Opus 5.5 code-rendered videos. Claude Opus 5.5 generates videos with code: cases from across the web and prompts you can copy directly.
- claude
- claude-code
- motion-graphics
- opus
TranslatedDeepSeek Harness prompt jailbreak plugin: removes the model's response restrictions through system prompts, with deep adaptation to multiple modes on Web and desktop, as well as tool calling
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
- accuracy-decline
- ai-safety
- audit-trail
- fact-checking
Reusable prompts for a structured, evidence-first bug bounty hunting workflow
- application-security
- bug-bounty
- bug-bounty-hunting
- cybersecurity
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
Translated🧬 钝核 (Bluntcore, "blunt core") | Human-AI Intimacy Lab · Bluntcore Intimacy Lab | Human-AI romance, adult AI, Prompt, Memory, Agent, model bed tests, and experiment logs. https://x.com/QloveDudu
Turn messy, real-world HTML into clean Markdown, from every major language.
- html-converter
- markdown-converter
- rag
- text-extraction
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
- word2vec
- text-mining
- natural-language-processing
- glove
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
Claude Code on Android: AI-powered mobile coding IDE for Android — chat with a coding agent, run Linux commands, edit files, review diffs, and preview web apps directly from your phone. No root required.
- claude-code
- mobile-ide
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
TranslatedSprix AI at 屿智同行 (Yuzhi Tongxing, "island wisdom traveling together") × 保研岛 (Baoyan Dao, "Baoyan Island") — an open-source benchmark for AI agents in Baoyan advising and application planning.
DeepSeek API pricing guide for models, cache hits, and peak hours (2026).
- api-pricing
- cost-calculator
- deepseek
- prompt-caching
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
Local gateway for Claude Code, Codex and other AI clients on macOS, Windows and Linux: switch upstreams without touching clients, keep API keys from relays, cut off malicious tool calls, trace every request.
- ai-gateway
- anthropic
- claude-code
- codex
Agentic Chat Interface directly in Neovim with ACP providers from Claude-Code, Gemini, Codex, OpenCode, and Cursor-agent
- neovim
- neovim-plugin
- neovim-plugin-lua
- neovim-plugins
Better judgment. Better taste. Less ceremony. System instructions and source-aware steering for GPT in Codex.
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
- avx2
- c
- cpu-inference
- gguf