A version control system for software 2.0.
Complete Documentation: stockroom.page
Stockroom is a platform to version models, data, parameters, experiment artifacts etc. alongside git versioned source code.
- It is easy. The APIs are very similar to dictionaries in python
- It works alongside Git - in case you need to version source code as well. It's OK if you don't.
- High performance, thanks to the amazing hangar library
- Integration with PyTorch and it's ecosystem, so that you don't need to write the complex pipeline code.
One important motivation behind the initial design of stockroom is to avoid users
learning another tool for versioning. We try to make the APIs as minimal and familiar
as possible. Similar to other versioning tools, stockroom let "git" does checkout
and rely on "git" to move between branches/commits. But unlike other tools, we channel
your data access through the smart API so that we don't need to move the huge data files
around when you traverse between commits.
$ pip install stockroomfrom stockroom import StockRoom
stock = StockRoom(write=True)
model.load_state_dict(stock.model['resnet50'])
for e in range(epochs):
for i in range(limit):
optimizer.zero_grad()
x, y = stock.data['dataset_name', i]
out = model(x)
loss = criterion(out, y)
loss.backward()
optimizer.step()
if loss < previous_loss:
stock.experiment['loss'] = loss.item()
stock.model['resnet50'] = model.state_dict()
stock.commit('adding a better model')We'd love to have you in the contributors list. Do check out the contributors guide before submitting a PR. Here is our latest #Hall-Of-Fame
This project is licensed under the terms of the Apache Software License 2.0