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README.md
18
README.md
@@ -191,16 +191,16 @@ The automatic workflow may not suite the research workflow of all Quant research
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# [Quant Model Zoo](examples/benchmarks)
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Here is a list of models built on `Qlib`.
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- [GBDT based on LightGBM](qlib/contrib/model/gbdt.py)
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- [GBDT based on Catboost](qlib/contrib/model/catboost_model.py)
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- [GBDT based on XGBoost](qlib/contrib/model/xgboost.py)
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- [GBDT based on LightGBM (Guolin Ke, et al.)](qlib/contrib/model/gbdt.py)
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- [GBDT based on Catboost (Liudmila Prokhorenkova, et al.)](qlib/contrib/model/catboost_model.py)
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- [GBDT based on XGBoost (Tianqi Chen, et al.)](qlib/contrib/model/xgboost.py)
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- [MLP based on pytorch](qlib/contrib/model/pytorch_nn.py)
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- [GRU based on pytorch](qlib/contrib/model/pytorch_gru.py)
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- [LSTM based on pytorcn](qlib/contrib/model/pytorch_lstm.py)
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- [ALSTM based on pytorcn](qlib/contrib/model/pytorch_alstm.py)
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- [GATs based on pytorch](qlib/contrib/model/pytorch_gats.py)
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- [SFM based on pytorch](qlib/contrib/model/pytorch_sfm.py)
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- [TFT based on tensorflow](examples/benchmarks/TFT/tft.py)
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- [GRU based on pytorch (Kyunghyun Cho, et al.)](qlib/contrib/model/pytorch_gru.py)
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- [LSTM based on pytorcn (Sepp Hochreiter, et al.)](qlib/contrib/model/pytorch_lstm.py)
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- [ALSTM based on pytorcn (Yao Qin, et al.)](qlib/contrib/model/pytorch_alstm.py)
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- [GATs based on pytorch (Petar Velickovic, et al.)](qlib/contrib/model/pytorch_gats.py)
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- [SFM based on pytorch (Liheng Zhang, et al.)](qlib/contrib/model/pytorch_sfm.py)
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- [TFT based on tensorflow (Bryan Lim, et al.)](examples/benchmarks/TFT/tft.py)
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Your PR of new Quant models is highly welcomed.
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