2016 Edm
Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensor Sensor | 634 | 2 years ago | 37 | December 11, 2021 | 8 | mit | Jupyter Notebook | |||
| The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai. | ||||||||||
| Deepknowledgetracing | 143 | 8 years ago | 8 | Lua | ||||||
| source code for the paper Deep Knowledge Tracing | ||||||||||
| Pytorch2c | 86 | 6 years ago | 1 | mit | Python | |||||
| A Python module for compiling PyTorch graphs to C | ||||||||||
| Deep Knowledge Tracing Plus | 47 | 5 years ago | 1 | Jupyter Notebook | ||||||
| It is the DKT+ model implemented in python3 and tensorflow1.2 | ||||||||||
| 2016 Edm | 43 | 7 years ago | 1 | Python | ||||||
| Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016) | ||||||||||
| Exercise Recommendation System | 31 | a year ago | 5 | Python | ||||||
| we build a student simulator with our concept-aware deep knowledge tracing model, and then use it to train a flexible and scalable personalized exercise recommendation policy with deep reinforcement learning | ||||||||||
| Deep Knowledge Tracing | 31 | 4 years ago | mit | Python | ||||||
| An implementation of the Deep Knowledge Tracing (DKT) with Tensorflow 2.0 | ||||||||||
| Knowledge_tracing | 22 | 5 years ago | Python | |||||||
| 自适应学习模型 - 知识追踪 | ||||||||||
| Translational Dbn | 19 | 11 years ago | Python | |||||||
| A variation on Deep Belief Networks that allows labels to be used in pretraining. The application is tracing tongue surface contours from ultrasound images | ||||||||||
| Deepirt | 17 | 4 years ago | mit | Python | ||||||
| It is the Deep-IRT model implemented in python3 and tensorflow1.13. Deep-IRT model extends the DKVMN model by cooperating with the IRT model. | ||||||||||
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