mims-harvard
Artificial Intelligence for Medicine and Science @ Harvard Zitnik Lab Joined Feb 2020 View on GitHub
- Stars
- 11,439
- across 80 public repos
- Rank
- #3,358
- of 94,823 organizations, top 4%
- New on the board this week
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 38,379 | Democratizing AI scientists with ToolUniverse | Python | 1,783 |
| 52,463 | Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science | Jupyter Notebook | 1,301 |
| 77,984 | Precision Medicine Knowledge Graph (PrimeKG) | Jupyter Notebook | 839 |
| 82,420 | AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation | Python | 792 |
| 98,054 | TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools | Python | 655 |
| 99,100 | A unified multi-task time series model. | Python | 648 |
| 112,802 | Nimfa: Nonnegative matrix factorization in Python | Python | 563 |
| 118,156 | Self-supervised contrastive learning for time series via time-frequency consistency | Python | 535 |
| 131,272 | Graph convolutional neural network for multirelational link prediction | Jupyter Notebook | 475 |
| 199,947 | TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design | Jupyter Notebook | 294 |
| 240,076 | Tutorials for Machine Learning on Graphs | Jupyter Notebook | 237 |
| 245,170 | Learning Universal Representations of Intermolecular Interactions with ATOMICA | Python | 231 |
| 246,982 | Graph Neural Networks for Irregular Time Series | Python | 229 |
| 261,100 | GraphXAI: Resource to support the development and evaluation of GNN explainers | Python | 214 |
| 270,458 | Subgraph Neural Networks (NeurIPS 2020) | Python | 205 |
| 341,204 | A modern multimodal knowledge graph with type-specific metadata across biomedical domains. | Python | 155 |
| 344,774 | scikit-fusion: Data fusion via collective latent factor models | Python | 153 |
| 368,555 | Domain Adaptation for Time Series Under Feature and Label Shifts | Jupyter Notebook | 141 |
| 375,160 | Medea: An AI agent for therapeutic reasoning across biological contexts | Python | 138 |
| 379,677 | CUREBench @ NeurIPS 2025: Benchmarking AI reasoning for therapeutic decision-making at scale | Python | 136 |
| 386,456 | Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks | Jupyter Notebook | 133 |
| 398,462 | Graph meta learning via local subgraphs (NeurIPS 2020) | Python | 128 |
| 416,787 | Generalizable AI predicts immunotherapy outcomes across cancers and treatments | Jupyter Notebook | 121 |
| 446,295 | Contextual AI models for single-cell protein biology | Python | 111 |
| 492,076 | ClinVec: Unified Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine | Jupyter Notebook | 98 |
| 550,066 | OhmNet: Representation learning in multi-layer graphs | Python | 85 |
| 550,066 | SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases | HTML | 85 |
| 620,105 | Defending graph neural networks against adversarial attacks (NeurIPS 2020) | Python | 73 |
| 620,105 | ATHENA-R1: AI agent for treatment reasoning over a biomedical tool universe | Python | 73 |
| 704,806 | ProCyon: A multimodal foundation model for protein phenotypes | Python | 62 |
| 752,861 | Time series explainability via self-supervised model behavior consistency | Python | 57 |
| 785,813 | KGARevion: AI Agent for Knowledge-Intensive Biomedical QA | Python | 54 |
| 834,245 | General Strategy for Unlearning in Graph Neural Networks | Python | 50 |
Among 94,823 organizations
10k–16k stars: 1,460 organizations, including mims-harvard
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 7.1k stars, 62% · 23 repos
- Jupyter Notebook 3.6k stars, 32% · 9 repos
- HTML 85 stars, 1% · 1 repo
When they were made
33 repos with 50+ stars, made between 2011 and 2026
Quick stats
- Next rank
- +7 stars to reach #3,357
- Next milestone
- +23,560 stars to reach the top 1%
- Public repos
- 80, 33 with 50+ stars
- Popular repos
- 24 over 100 stars, 2 over 1k stars
- Top repo
- ToolUniverse, #38,379 of all repos, 16% of stars
- Smaller repos
- 585 stars from repos under 50