diff --git a/.github/workflows/build-and-test.yaml b/.github/workflows/build-and-test.yaml index 8536cd9..8fef277 100644 --- a/.github/workflows/build-and-test.yaml +++ b/.github/workflows/build-and-test.yaml @@ -1,4 +1,4 @@ -name: ABL-Package-CI +name: ABLKit-CI on: push: diff --git a/README.md b/README.md index 1c94298..04d705a 100644 --- a/README.md +++ b/README.md @@ -2,14 +2,14 @@ [](https://pypi.org/project/ablkit/) [](https://pypi.org/project/ablkit/) -[](https://github.com/AbductiveLearning/ABL-Package/blob/main/LICENSE) -[](https://github.com/AbductiveLearning/ABL-Package/actions/workflows/lint.yaml) +[](https://github.com/AbductiveLearning/ABLKit/blob/main/LICENSE) +[](https://github.com/AbductiveLearning/ABLKit/actions/workflows/lint.yaml) [](https://github.com/psf/black) -[](https://github.com/AbductiveLearning/ABL-Package/actions/workflows/build-and-test.yaml) +[](https://github.com/AbductiveLearning/ABLKit/actions/workflows/build-and-test.yaml) [📘Documentation](https://www.lamda.nju.edu.cn/abl_test/docs/build/html/index.html) | -[📚Examples](https://github.com/AbductiveLearning/ABL-Package/tree/main/examples) | -[💬Reporting Issues](https://github.com/AbductiveLearning/ABL-Package/issues/new) +[📚Examples](https://github.com/AbductiveLearning/ABLKit/tree/main/examples) | +[💬Reporting Issues](https://github.com/AbductiveLearning/ABLKit/issues/new) @@ -47,8 +47,8 @@ pip install ablkit Alternatively, to install from source code, sequentially run following commands in your terminal/command line. ```bash -git clone https://github.com/AbductiveLearning/ABL-Package.git -cd ABL-Package +git clone https://github.com/AbductiveLearning/ABLKit.git +cd ABLKit pip install -v -e . ``` @@ -68,10 +68,10 @@ For Windows and Mac users, please refer to the [SWI-Prolog Install Guide](https: We provide several examples in `examples/`. Each example is stored in a separate folder containing a README file. -+ [MNIST Addition](https://github.com/AbductiveLearning/ABL-Package/blob/Dev/examples/mnist_add) -+ [Handwritten Formula](https://github.com/AbductiveLearning/ABL-Package/blob/Dev/examples/hwf) -+ [Handwritten Equation Decipherment](https://github.com/AbductiveLearning/ABL-Package/tree/Dev/examples/hed) -+ [Zoo](https://github.com/AbductiveLearning/ABL-Package/tree/Dev/examples/zoo) ++ [MNIST Addition](https://github.com/AbductiveLearning/ABLKit/blob/Dev/examples/mnist_add) ++ [Handwritten Formula](https://github.com/AbductiveLearning/ABLKit/blob/Dev/examples/hwf) ++ [Handwritten Equation Decipherment](https://github.com/AbductiveLearning/ABLKit/tree/Dev/examples/hed) ++ [Zoo](https://github.com/AbductiveLearning/ABLKit/tree/Dev/examples/zoo) ## Quick Start diff --git a/docs/Examples/HED.rst b/docs/Examples/HED.rst index 8a303eb..93444d9 100644 --- a/docs/Examples/HED.rst +++ b/docs/Examples/HED.rst @@ -3,7 +3,7 @@ Handwritten Equation Decipherment (HED) .. raw:: html -
For detailed code implementation, please view it on GitHub.
+For detailed code implementation, please view it on GitHub.
Below shows an implementation of `Handwritten Equation DeciphermentFor detailed code implementation, please view it on GitHub.
+For detailed code implementation, please view it on GitHub.
Below shows an implementation of `Handwritten FormulaFor detailed code implementation, please view it on GitHub.
+For detailed code implementation, please view it on GitHub.
Below shows an implementation of `MNIST AdditionFor detailed code implementation, please view it on GitHub.
+For detailed code implementation, please view it on GitHub.
Below shows an implementation of `Zoo