Dicee

We're happy to announce the 0.0.7 release.

You can install it with `pip install dicee==0.0.7`

We're happy to announce the 0.0.5 release.

You can install it with `pip install dicee==0.0.5`


Major updates

1. Pykeen models can be trained without out-of-memory caused by using reguralizers wo collect_regularization_term (see 1297) .

2. Via `--sparql_endpoint` argument, KGE models can be trained on triples stored in a triple store.

3. Via `rdflib`, many different formatted KGs can be read into memory.

4. We added more tests and documented our code.


Todos for the next release

1. **Model Parallelism**:
2. **8bit Training**:

We're happy to announce the 1.0.4 release.

You can install it with `pip install dicee`


Major updates

The knowledge graph embedding models implemented in Pykeen can be used within our framework.
Hence, [the distributed training column of the Table 1 in PyKEEN paper](https://arxiv.org/pdf/2007.14175.pdf) can be checked via our framework 🎉.

We're happy to announce the 1.0.3 release.

You can install it with `pip install dicee`


Major updates

Distributed Data Parallel training in a multi-node setting is available.

We're happy to announce the 1.0.2 release.

You can install it with `pip install dicee`

We're happy to announce the 0.0.9 release.

You can install it with `pip install dicee==0.0.9`