PrototypeCommon
p768lwy3/torecsys
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…
- Owner
- p768lwy3 (personal account)
- Stars
- Stars: 106
- Forks
- Forks: 21
- Language
- Python
- License
- MIT
- Created
- 2019
- Topics
- pytorchrecommender-systemrecommendation-systempythonclick-through-rateembedding-models
- Tier
- Prototype (100 to 249 ★) What this tier means
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