# p768lwy3/torecsys

<https://repo.masters-masters.com/en/repos/p768lwy3/torecsys>

[Home](https://repo.masters-masters.com/en) › [p768lwy3](https://repo.masters-masters.com/en/owners/p768lwy3) › [torecsys](https://repo.masters-masters.com/en/repos/p768lwy3/torecsys)

p768lwy3/torecsys has 106 stars on GitHub. Its RepoMasters card: Prototype tier. ToR\[e\]cSys is a PyTorch Framework to implement recommendation system…

| Field | Value |
| --- | --- |
| Owner | [p768lwy3](https://repo.masters-masters.com/en/owners/p768lwy3) |
| Stars | 106 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, recommender-system, recommendation-system, python, click-through-rate, embedding-models |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [p768lwy3/torecsys](https://github.com/p768lwy3/torecsys) |

## Repository

ToR\[e\]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in…

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

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