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 real-world in a smooth and easy way.
PythonMIT
Stargazers
- Agent-Only
- aimetrics
- andjsmileBeijing University Of Posts And Telecommunications
- Anisalexvl
- beecindy
- DanZhao1027
- DevRossBaidu -> Tencent -> Web3
- fjkfwz@xiachufang
- frank-peng
- gabrielfuHong Kong
- hazhang-wishWish
- ibunny01
- JackeYouantfin
- jeradfmedium
- jiaweiguo1019
- kiwii139
- korolrAsatana
- linh47Xiaomi
- longscoBoston
- MiJoeBUPT
- nasWangQihoo
- oliverld
- qianrenjian北京
- qigaofeng
- rabintangTencent, Shenzhen
- sarchakInstacart
- satiesHong Kong
- ShicoderAlibaba Group
- shun-weibeijing,china
- songbingyuBaidu
- superalsrkBeijing China
- trungnghiahoang96Vietnam
- wffzxyl
- whuxiaoqiang
- xiaoweiwang89
- yxzf