Popular GitHub Repositories for Experimental Token

? Token-Oriented Object Notation – JSON for LLMs at half the token cost

?? ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation

A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

A concise but complete full-attention transformer with a set of promising experimental features from various papers

? KIMI AI 长文本大模型逆向API【特长：长文本解读整理】，支持高速流式输出、智能体对话、联网搜索、探索版、K1思考模型、长文档解读、图像解析、多轮对话，零配置部署，多路token支持，自动清理会话痕迹，仅供测试，如需商用请前往官方开放平台。

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

PJON (Padded Jittering Operative Network) is an experimental, arduino-compatible, multi-master, multi-media network protocol.

? DeepSeek-V3 R1大模型逆向API【特长：良心厂商】（官方贼便宜，建议直接走官方），支持高速流式输出、多轮对话，联网搜索，R1深度思考，零配置部署，多路token支持，仅供测试，如需商用请前往官方开放平台。

Experimental toolkit for auto-generating codebase documentation using LLMs

Easy token price estimates for 400+ LLMs. TokenOps.

MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding

? Experimental library for scraping websites using OpenAI's GPT API.

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

? 阿里通义千问2.5大模型逆向API【特长：六边形战士】，支持高速流式输出、无水印AI绘图、长文档解读、图像解析、联网检索、多轮对话，零配置部署，多路token支持，自动清理会话痕迹，仅供测试，如需商用请前往官方开放平台。

? 即梦逆向API【特长：图像生成顶流】，零配置部署，多路token支持，仅供测试，如需商用请前往官方开放平台。

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

? MINT-1T: A one trillion token multimodal interleaved dataset.

? 秘塔AI搜索逆向API【特长：超强检索超长输出】，支持高速流式输出、超强联网搜索（全网or学术以及简洁、深入、研究三种模式），零配置部署，多路token支持，仅供测试，如需商用请前往官方开放平台。