write readable readme (#5)

README.md

-1. Add GPU support for torch.unique
-2. Add empty tensor support to pytorch
-3. meshgrid for pytorch
-4. @unittest.skipIf
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+# TorchANI
+
+[![Codefresh build status]( https://g.codefresh.io/api/badges/build?repoOwner=zasdfgbnm&repoName=torchani&branch=master&pipelineName=torchani&accountName=zasdfgbnm&key=eyJhbGciOiJIUzI1NiJ9.NTk5ZmEwNzI2MTNhNTMwMDAxNTY4MmJm.nnVU1i-VQQSzPcsGxKnMC0wT-y9C2i8xuBZvUjlubYg&type=cf-1)]( https://g.codefresh.io/repositories/zasdfgbnm/torchani/builds?filter=trigger:build;branch:master;service:5b53d92fff9e565ae1f3a5b5~torchani)
+
+TorchANI is a pytorch implementation of ANI.
+
+Paper:
+
+* Smith JS, Isayev O, Roitberg AE. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost. Chemical science. 2017;8(4):3192-203.
+
+# Install
+
+TorchANI requires the master branch of PyTorch, which means:
+
+* You need to compile install the latest pytorch, see [official instructions](https://github.com/pytorch/pytorch#from-source).
+* Some update to TorchANI might require the user to recompile install the latest PyTorch. Before submitting a bug report, make sure you are running the latest PyTorch.
+
+After installing the correct PyTorch, all you need is clone the repository and do:
+
+```bash
+pip install .
+```
+
+# Development
+
+Never commit to the master branch directly. If you need to change something, create a new branch, submit a PR on GitHub.
+
+You must pass all the tests on GitHub before your PR can be merged.
+
+Code review is required before merging pull request.
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