# shaohua0116/awesome-program

<https://repo.masters-masters.com/en/repos/shaohua0116/awesome-program>

[Home](https://repo.masters-masters.com/en) › [shaohua0116](https://repo.masters-masters.com/en/owners/shaohua0116) › [awesome-program](https://repo.masters-masters.com/en/repos/shaohua0116/awesome-program)

shaohua0116/awesome-program has 170 stars on GitHub. Its RepoMasters card: Prototype tier. A curated list of papers related to program synthesis, program…

| Field | Value |
| --- | --- |
| Owner | [shaohua0116](https://repo.masters-masters.com/en/owners/shaohua0116) |
| Stars | 170 |
| Forks | 16 |
| Language | No language |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [shaohua0116/awesome-program](https://github.com/shaohua0116/awesome-program) |

## Repository

A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by shaohua0116

- [shaohua0116/ICLR2020-OpenReviewData · ★ 460 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/shaohua0116/ICLR2020-OpenReviewData)
- [shaohua0116/ICLR2019-OpenReviewData · ★ 388 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/shaohua0116/ICLR2019-OpenReviewData)
- [shaohua0116/Activation-Visualization-Histogram · ★ 375 · Python · Alpha](https://repo.masters-masters.com/en/repos/shaohua0116/Activation-Visualization-Histogram)
- [shaohua0116/Group-Normalization-Tensorflow · ★ 207 · Python · Prototype](https://repo.masters-masters.com/en/repos/shaohua0116/Group-Normalization-Tensorflow)
- [shaohua0116/Multiview2Novelview · ★ 203 · Python · Prototype](https://repo.masters-masters.com/en/repos/shaohua0116/Multiview2Novelview)
- [shaohua0116/MMAML-Classification · ★ 141 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/shaohua0116/MMAML-Classification)

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