Fix elfi URL (#16)

README.md

@@ -105,7 +105,7 @@ Finally, if you want to have a look at the source code of the task, take a look
 
 ## Algorithms
 
-As mentioned in the intro, `sbibm` wraps a number of third-party packages to run various algorithms. We found it easiest to give each algorithm the same interface: In general, each algorithm specifies a `run` function that gets `task` and hyperparameters as arguments, and eventually returns the required `num_posterior_samples`. That way, one can simply import the run function of an algorithm, tune it on any given task, and return metrics on the returned samples. Wrappers for external toolboxes implementing algorithms are in the subfolder `sbibm/algorithms`. Currently, integrations with [`sbi`](https://www.mackelab.org/sbi/), [`pyabc`](https://pyabc.readthedocs.io), [`pyabcranger`](https://github.com/diyabc/abcranger), as well as an experimental integration with [`elfi`](https://github.com/diyabc/abcranger) are provided.
+As mentioned in the intro, `sbibm` wraps a number of third-party packages to run various algorithms. We found it easiest to give each algorithm the same interface: In general, each algorithm specifies a `run` function that gets `task` and hyperparameters as arguments, and eventually returns the required `num_posterior_samples`. That way, one can simply import the run function of an algorithm, tune it on any given task, and return metrics on the returned samples. Wrappers for external toolboxes implementing algorithms are in the subfolder `sbibm/algorithms`. Currently, integrations with [`sbi`](https://www.mackelab.org/sbi/), [`pyabc`](https://pyabc.readthedocs.io), [`pyabcranger`](https://github.com/diyabc/abcranger), as well as an experimental integration with [`elfi`](https://github.com/elfi-dev/elfi) are provided.
 
 
 ## Metrics