Repository Index

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

Xiaomi-OCR-0

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

EdgeRock: Strong Reasoning at Constant Memory. Multimodal models with O(N) generation and O(1) persistent history. Inference and evaluation code.

OmniEdu: Open Foundation Models for Learning and Teaching

This Word Does Not Exist

• machine-learning
• gpt-2
• transformers
• natural-language-processing

Translated341 code animation style prompts, 196 reference still frames, and an offline picker, packaged as a Claude Code / Codex Skill, with one-click import and HTML video rendering support.

• agent-skills
• animation
• claude-code
• codex

An open-source take on ChatGPT's Intelligent UI: answers stream as interactive UI (maps, photos, charts, drawings and working tools). Built with OpenUI.

• agents
• ai
• ai-agents
• ai-ui

Reusable prompts for a structured, evidence-first bug bounty hunting workflow

• application-security
• bug-bounty
• bug-bounty-hunting
• cybersecurity

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

Rewrites AI drafts so they read like a person wrote them — runs locally, keeps the facts

• gguf
• humanizer
• llama-cpp
• llm

TranslatedDSH jailbreak prompt creation workflow

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

Turn messy, real-world HTML into clean Markdown, from every major language.

• html-converter
• markdown-converter
• rag
• text-extraction

🚀 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.

• nlp
• natural-language-processing
• artificial-intelligence
• embeddings

Ontology-Augmented Generation for AI agents.

• agent-skills
• document-parsing
• knowledge-graph
• mineru

TranslatedA community-maintained fan-creation resource library for the Whale Girl (鲸鱼娘), collecting character reference images, generation prompts, community works, and related projects, giving creators convenient and easy-to-use references and inspiration. This is an unofficial community project and does not represent the official position of DeepSeek.

BLEURT is a metric for Natural Language Generation based on transfer learning.

Open-source LLM gateway in Rust. One endpoint for OpenAI, Anthropic, Gemini and every other vendor. Any SDK, any model, any tool.

• ai-agents
• ai-gateway
• anthropic
• gemini

Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetry.

• developer-tools
• golang
• quota-tracker
• ai-api-monitoring

This repo offers a simple interface that helps you to read&summerize research papers in pdf format. You can ask some questions after reading. This interface is developed based on openai API and using GPT-3.5-turbo model.

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

Real-time observability of claude code sessions & multi-agents.

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