by nokia-applied-research · AI Tool · ★ 1.4k
English · 简体中文 · Levels contract · Results · Roadmap Jiamu Zhang1 Tianze Yang1 Yucheng Shi2 Liang Wu1 1 Nokia, Sunnyvale, CA 2 Tencent Hunyuan Qwen3-8B, a real BANKING77 item, real outputs. Left: raw next-token readout — reverse the option
| Stars | 1,391 |
| Forks | 162 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 64.1530995246917/100 |
| Open Issues | 11 |
| Last Updated | 2026-10-12 |
| Created | 2026-09-21 |
| Platforms | python |
| Est. Tokens | ~16k |
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AnyJev is Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request). It is categorized as a AI Tool with 1.4k GitHub stars.
AnyJev is primarily written in Python. It covers topics such as calibration, decision-model, jev.
You can find installation instructions and usage details in the AnyJev GitHub repository at github.com/nokia-applied-research/AnyJev. The project has 1.4k stars and 162 forks, indicating an active community.
AnyJev is released under the Apache-2.0 license, making it free to use and modify according to the license terms.