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polish grl_pipelines.
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zjowowen committed Oct 31, 2024
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22 changes: 11 additions & 11 deletions grl_pipelines/tutorials/README.md
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Expand Up @@ -28,26 +28,26 @@ We provide several toy examples to demonstrate the features of the `GenerativeRL

### Diverse generative models

- [Diffusion Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_diffusion.py)
- [Energy condition Diffusion Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_energy_condition.py)
- [Independent Conditional Flow Matching Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_icfm.py)
- [Optimal Transport Conditional Flow Matching Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_otcfm.py)
- [SF2M](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_otcfm.py)
- [Diffusion Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_diffusion.py)
- [Energy condition Diffusion Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_energy_condition.py)
- [Independent Conditional Flow Matching Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_icfm.py)
- [Optimal Transport Conditional Flow Matching Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_otcfm.py)
- [SF2M](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_otcfm.py)

### Generative model applications

- [World Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/applications/swiss_roll_world_model.py)
- [World Model](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/applications/swiss_roll_world_model.py)

### Generative model evaluation

- [Likelihood Evaluation](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/metrics/swiss_roll_likelihood.py)
- [Likelihood Evaluation](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/metrics/swiss_roll_likelihood.py)

### ODE/SDE solvers usages

- [DPM Solver](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/solvers/swiss_roll_dpmsolver.py)
- [SDE Solver](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/solvers/swiss_roll_sdesolver.py)
- [DPM Solver](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/solvers/swiss_roll_dpmsolver.py)
- [SDE Solver](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/solvers/swiss_roll_sdesolver.py)

### Special usages in GenerativeRL

- [Customized Neural Network Modules](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/special_usages/customized_modules.py)
- [Dict-like Structure Data Generation](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/special_usages/dict_tensor_ode.py)
- [Customized Neural Network Modules](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/special_usages/customized_modules.py)
- [Dict-like Structure Data Generation](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/special_usages/dict_tensor_ode.py)
22 changes: 11 additions & 11 deletions grl_pipelines/tutorials/README.zh.md
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Expand Up @@ -28,26 +28,26 @@

### 多种生成模型

- [扩散模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_diffusion.py)
- [能量条件扩散模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_energy_condition.py)
- [独立条件流匹配模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_icfm.py)
- [最优输运条件流匹配模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_otcfm.py)
- [SF2M](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/generative_models/swiss_roll_otcfm.py)
- [扩散模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_diffusion.py)
- [能量条件扩散模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_energy_condition.py)
- [独立条件流匹配模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_icfm.py)
- [最优输运条件流匹配模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_otcfm.py)
- [SF2M](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/generative_models/swiss_roll_otcfm.py)

### 生成模型应用

- [世界模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/applications/swiss_roll_world_model.py)
- [世界模型](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/applications/swiss_roll_world_model.py)

### 生成模型评估

- [似然性评估](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/metrics/swiss_roll_likelihood.py)
- [似然性评估](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/metrics/swiss_roll_likelihood.py)

### ODE/SDE 求解器用法

- [DPM 求解器](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/solvers/swiss_roll_dpmsolver.py)
- [SDE 求解器](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/solvers/swiss_roll_sdesolver.py)
- [DPM 求解器](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/solvers/swiss_roll_dpmsolver.py)
- [SDE 求解器](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/solvers/swiss_roll_sdesolver.py)

### GenerativeRL 的特殊用法

- [自定义神经网络模块](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/special_usages/customized_modules.py)
- [类似字典结构的数据生成](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/toy_examples/special_usages/dict_tensor_ode.py)
- [自定义神经网络模块](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/special_usages/customized_modules.py)
- [类似字典结构的数据生成](https://github.com/zjowowen/GenerativeRL_Preview/tree/main/grl_pipelines/tutorials/special_usages/dict_tensor_ode.py)

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