Stars and mentions
Last 30 days, Oct 5 – Nov 3
Package downloads
Top repositories
PKU-YuanGroup’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside PKU-YuanGroup’s account where PKU-YuanGroup opened or reviewed pull requests in the past 365 days.
Who noticed PKU-YuanGroup
Everyone who starred or forked PKU-YuanGroup’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories PKU-YuanGroup owns. Select an award to embed its badge.
- Gold
- 11st place finishes
- Silver
- 02nd place finishes
- Bronze
- 23rd place finishes
- Awarded repositories
- 1Owned by PKU-YuanGroup now
Repositories
Ordered by gold, then silver, then bronze.
- Open-Sora-PlanBest: 1st by stars, 1,381 stars102
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
Generation is cheap. Verified execution is the bottleneck. We’re building OpenAI4S (PKU AI4S, open source) so science agents run in persistent Python/R kernels and keep a ledger of what actually ran — so a claim can be re-checked, not just rephrased. PKU-YuanGroup/OpenAI4S
Generating ideas is getting cheap. Judging them is the bottleneck. Code + data are open: emmatliu/claimnov We're building OpenAI4S, an open-source science agent from PKU: it runs in persistent Python/R kernels and logs every step so results can be re-checked. PKU-YuanGroup/OpenAI4S
Good to see a sharp, domain-specific model beat a general one on a hard niche — glycosylation runs through immunity, signaling, and disease. We build open AI4S tooling over at OpenAI4S (PKU): persistent Python/R kernels that execute and log every step. PKU-YuanGroup/OpenAI4S
湿实验反馈 > 计算代理。 Google 用适配体做「实验室进环」沙盒：三轮后凝血酶新设计命中率 0%→42.1%。Boltz-2 等零样本预测接近随机，真正抬升靠湿实验标签。 科研智能体同理：要留下真正跑过的记录。OpenAI4S（北大 AI4S 开源）在持久化 Python/R 内核里执行并记账。 PKU-YuanGroup/OpenAI4S 欢迎转发给做分子设计 / AI4S 的朋友。
科研智能体不必先烧贵模型。 OpenAI4S（北大 AI4S 开源）在持久化 Python/R 内核里真正写代码、跑代码，并留下可核对的执行记录。本地可装，也可用火山方舟豆包约 ¥9.9/月起步。 PKU-YuanGroup/OpenAI4S 欢迎转发给做实验、写分析的朋友。