# Beta tier repos, page 679

<https://repo.masters-masters.com/en/ranks/box_office?page=679>

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All 58,392 Beta tier repos in RepoMasters (700 to 1,999 ★), with a 6% chance per card pulled: stars, language and card for each. Page 679 of 1947

## Beta tier repos, page 679

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare. 58,392 repos in this tier, most starred first.

- [XiangLi1999/Diffusion-LM · ★ 1,249 · Python · Beta](https://repo.masters-masters.com/en/repos/XiangLi1999/Diffusion-LM)
- [holepunchto/bare · ★ 1,249 · C · Beta](https://repo.masters-masters.com/en/repos/holepunchto/bare)
- [ibm-granite/granite-code-models · ★ 1,249 · Beta](https://repo.masters-masters.com/en/repos/ibm-granite/granite-code-models)
- [roblillack/spot · ★ 1,249 · Go · Beta](https://repo.masters-masters.com/en/repos/roblillack/spot)
- [LTH14/fractalgen · ★ 1,249 · Python · Beta](https://repo.masters-masters.com/en/repos/LTH14/fractalgen)
- [OpenTSLM/OpenTSLM · ★ 1,249 · Python · Beta](https://repo.masters-masters.com/en/repos/OpenTSLM/OpenTSLM)
- [stoolap/stoolap · ★ 1,249 · Rust · Beta](https://repo.masters-masters.com/en/repos/stoolap/stoolap)
- [stanford-iris-lab/meta-harness-tbench2-artifact · ★ 1,249 · Python · Beta](https://repo.masters-masters.com/en/repos/stanford-iris-lab/meta-harness-tbench2-artifact)
- [AndreaCrotti/yasnippet-snippets · ★ 1,248 · YASnippet · Beta](https://repo.masters-masters.com/en/repos/AndreaCrotti/yasnippet-snippets)
- [AutoHotkey/AutoHotkey-v1.0 · ★ 1,248 · C++ · Beta](https://repo.masters-masters.com/en/repos/AutoHotkey/AutoHotkey-v1.0)
- [kwhitley/apicache · ★ 1,248 · JavaScript · Beta](https://repo.masters-masters.com/en/repos/kwhitley/apicache)
- [mar10/wsgidav · ★ 1,248 · Python · Beta](https://repo.masters-masters.com/en/repos/mar10/wsgidav)
- [uuid-rs/uuid · ★ 1,248 · Rust · Beta](https://repo.masters-masters.com/en/repos/uuid-rs/uuid)
- [4refr0nt/ESPlorer · ★ 1,248 · Java · Beta](https://repo.masters-masters.com/en/repos/4refr0nt/ESPlorer)
- [gfngfn/SATySFi · ★ 1,248 · OCaml · Beta](https://repo.masters-masters.com/en/repos/gfngfn/SATySFi)
- [alexcrichton/rust-ffi-examples · ★ 1,248 · Makefile · Beta](https://repo.masters-masters.com/en/repos/alexcrichton/rust-ffi-examples)
- [Roave/BetterReflection · ★ 1,248 · PHP · Beta](https://repo.masters-masters.com/en/repos/Roave/BetterReflection)
- [paazmaya/shuji · ★ 1,248 · JavaScript · Beta](https://repo.masters-masters.com/en/repos/paazmaya/shuji)
- [yipianfengye/androidSource · ★ 1,248 · Beta](https://repo.masters-masters.com/en/repos/yipianfengye/androidSource)
- [Unity-Technologies/ShaderGraph · ★ 1,248 · C\# · Beta](https://repo.masters-masters.com/en/repos/Unity-Technologies/ShaderGraph)
- [Evercoder/culori · ★ 1,248 · JavaScript · Beta](https://repo.masters-masters.com/en/repos/Evercoder/culori)
- [RedaOps/ann-visualizer · ★ 1,248 · Python · Beta](https://repo.masters-masters.com/en/repos/RedaOps/ann-visualizer)
- [dchrastil/ScrapedIn · ★ 1,248 · Python · Beta](https://repo.masters-masters.com/en/repos/dchrastil/ScrapedIn)
- [BohdanOrlov/ios-skills-matrix · ★ 1,248 · Beta](https://repo.masters-masters.com/en/repos/BohdanOrlov/ios-skills-matrix)
- [aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker · ★ 1,248 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker)
- [xuehaouwa/Awesome-Trajectory-Prediction · ★ 1,248 · Beta](https://repo.masters-masters.com/en/repos/xuehaouwa/Awesome-Trajectory-Prediction)
- [ColorlibHQ/email-templates · ★ 1,248 · HTML · Beta](https://repo.masters-masters.com/en/repos/ColorlibHQ/email-templates)
- [Kchengz/k-form-design · ★ 1,248 · Vue · Beta](https://repo.masters-masters.com/en/repos/Kchengz/k-form-design)
- [folke/ultra-runner · ★ 1,248 · TypeScript · Beta](https://repo.masters-masters.com/en/repos/folke/ultra-runner)
- [igorkasyanchuk/rails\_performance · ★ 1,248 · Ruby · Beta](https://repo.masters-masters.com/en/repos/igorkasyanchuk/rails_performance)

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