scarse

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Author: Leo Andrekson, Robin Rydbergh, Rocío Mercado, Michaela Wenzel
License: MIT
Summary: A package for training SCARSE on small sample sizes of peptide sequences that can later be used to predict peptide properties of unseen peptides. Making SCARSE perfectly suited for AI-infused peptide engineering.
Latest version: 1.0.0
Required dependencies: alembic | annotated-doc | anyio | asttokens | bottle | bottle-websocket | certifi | cffi | click | colorama | colorlog | comm | debugpy | decorator | executing | filelock | fsspec | future | gevent | gevent-websocket | greenlet | h11 | hf-xet | httpcore | httpx | huggingface_hub | idna | importlib_resources | ipykernel | ipython | ipython_pygments_lexers | jedi | jinja2 | joblib | jupyter_client | jupyter_core | mako | markdown-it-py | markupsafe | matplotlib-inline | mdurl | mpmath | nest-asyncio | networkx | numpy | optuna | packaging | pandas | parso | pillow | platformdirs | prompt_toolkit | psutil | pure_eval | pycparser | pygments | pyparsing | python-dateutil | pyyaml | pyzmq | regex | rich | safetensors | scikit-learn | scipy | setuptools | shellingham | six | sqlalchemy | stack-data | sympy | threadpoolctl | tokenizers | torch | torchvision | tornado | tqdm | traitlets | transformers | typer | typing_extensions | tzdata | wcwidth | zope.event | zope.interface

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