# sidhomj/DeepTCR

<https://repo.masters-masters.com/en/repos/sidhomj/DeepTCR>

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

sidhomj/DeepTCR has 124 stars on GitHub. Its RepoMasters card: Prototype tier. Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

| Field | Value |
| --- | --- |
| Owner | [sidhomj](https://repo.masters-masters.com/en/owners/sidhomj) |
| Stars | 124 |
| Forks | 43 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | deep-learning, repertoire, tcr, adaptive-immunity, immunology, tcr-repertoire |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sidhomj/DeepTCR](https://github.com/sidhomj/DeepTCR) |

## Repository

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

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

## Nearby in Jupyter Notebook

- [RiddleHe/gpt-oss-alignment · ★ 124 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/RiddleHe/gpt-oss-alignment)
- [MuLabPKU/SHINE · ★ 124 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/MuLabPKU/SHINE)
- [AshiteshSingh/Tpu-Accelerated-Quantum-JAX · ★ 124 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/AshiteshSingh/Tpu-Accelerated-Quantum-JAX)
- [materialsinnovation/pymks · ★ 124 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/materialsinnovation/pymks)
- [YeoLab/flotilla · ★ 124 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/YeoLab/flotilla)
- [CAChemE/learn · ★ 124 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/CAChemE/learn)

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