Clean up repo.

Author: seba-1511

Makefile

@@ -0,0 +1,6 @@
+
+.PHONY: *
+
+publish:
+	python setup.py sdist
+	twine upload --repository-url https://upload.pypi.org/legacy/ dist/*

README.md

@@ -3,15 +3,15 @@
 --------------------------------------------------------------------------------
 
 learn2learn is a PyTorch library for meta-learning implementations.
-It was developed during the [first PyTorch Hackathon](http://pytorchmpk.devpost.com/).
+It was developed during the [first PyTorch Hackathon](http://pytorchmpk.devpost.com/). Edit: L2L was lucky to win the hackathon!
 
-**Note** learn2learn was lucky to win the PyTorch Hackathon at MPK. We'll clean up the repo and resume development soon.
+**Note** learn2learn is under active development and many things are breaking.
 
-# Supported Algorithms
+# Installation
 
-* MAML
-* FOMAML
-* MetaSGD
+~~~bash
+pip install learn2learn
+~~~
 
 # API Demo
 
@@ -44,6 +44,17 @@ for iteration in range(num_iterations):
     opt.step()
 ~~~
 
+# Changelog
+
+The following changelog is mostly for the hackathon period.
+
+## August 12, 2019
+
+* Basic implementation of MAML, FOMAML, Meta-SGD.
+* TaskGenerator code for classification tasks.
+* Environments for RL.
+* Small scale examples of MAML-A2C and MAML-PPO.
+
 # Acknowledgements
 
 1. The RL environments are copied from: https://github.com/tristandeleu/pytorch-maml-rl

assets/meta_train.png

@@ -27,8 +27,8 @@
     long_description_content_type='text/markdown',
     author='Seb Arnold',
     author_email='[email protected]',
-    url='https://seba-1511.github.com/pytorch-hacks',
-    download_url='https://github.com/seba-1511/pytorch-hacks/archive/' + str(VERSION) + '.zip',
+    url='https://seba-1511.github.com/learn2learn',
+    download_url='https://github.com/seba-1511/learn2learn/archive/' + str(VERSION) + '.zip',
     license='License :: OSI Approved :: Apache Software License',
     classifiers=[],
     scripts=[],