# bin123apple/AutoCoder

<https://repo.masters-masters.com/en/repos/bin123apple/AutoCoder>

[Home](https://repo.masters-masters.com/en) › [bin123apple](https://repo.masters-masters.com/en/owners/bin123apple) › [AutoCoder](https://repo.masters-masters.com/en/repos/bin123apple/AutoCoder)

bin123apple/AutoCoder has 847 stars on GitHub. Its RepoMasters card: Beta tier. We introduced a new model designed for the Code generation task. Its test…

| Field | Value |
| --- | --- |
| Owner | [bin123apple](https://repo.masters-masters.com/en/owners/bin123apple) |
| Stars | 847 |
| Forks | 71 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | code-generation, code-interpreter, humaneval, llm, text-generation, nlp, nlp-machine-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [bin123apple/AutoCoder](https://github.com/bin123apple/AutoCoder) |

## Repository

We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## Nearby in Python

- [haofanwang/ControlNet-for-Diffusers · ★ 847 · Python · Beta](https://repo.masters-masters.com/en/repos/haofanwang/ControlNet-for-Diffusers)
- [reflex-dev/reflex-llm-examples · ★ 847 · Python · Beta](https://repo.masters-masters.com/en/repos/reflex-dev/reflex-llm-examples)
- [TideDra/lmm-r1 · ★ 847 · Python · Beta](https://repo.masters-masters.com/en/repos/TideDra/lmm-r1)
- [acl-org/acl-anthology · ★ 847 · Python · Beta](https://repo.masters-masters.com/en/repos/acl-org/acl-anthology)
- [s0md3v/Breacher · ★ 847 · Python · Beta](https://repo.masters-masters.com/en/repos/s0md3v/Breacher)
- [zhezhaoa/ngram2vec · ★ 847 · Python · Beta](https://repo.masters-masters.com/en/repos/zhezhaoa/ngram2vec)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
