diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml
index a235300..8631cf4 100644
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -23,12 +23,11 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           cache: poetry
+      - uses: chartboost/ruff-action@v1
       - name: Install dependencies
         run: |
           poetry install
           poetry run pip install torch --extra-index-url https://download.pytorch.org/whl/cpu
-      - name: Lint
-        run: poetry run flake8 -v .
       - name: Test
         run: poetry run pytest -v -s --cov=. --cov-report=xml tests
       - name: Upload coverage reports to Codecov
diff --git a/Makefile b/Makefile
index 03f4707..c0ae117 100644
--- a/Makefile
+++ b/Makefile
@@ -2,7 +2,7 @@ install:
 	poetry install
 
 lint:
-	poetry run flake8 -v
+	poetry run ruff check .
 
 test:
 	poetry run pytest -v -s --cov=. tests
diff --git a/configs/mnist.yaml b/configs/mnist.yaml
index a18ff4d..5b6fcf1 100644
--- a/configs/mnist.yaml
+++ b/configs/mnist.yaml
@@ -6,6 +6,7 @@ job:
 trainer:
   name: MNISTTrainer
   num_epochs: 20
+  num_classes: 10
 
 dataset:
   name: MNISTDataLoader
diff --git a/poetry.lock b/poetry.lock
index b76a972..9772aec 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,24 +1,5 @@
 # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
-[[package]]
-name = "alembic"
-version = "1.12.1"
-description = "A database migration tool for SQLAlchemy."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "alembic-1.12.1-py3-none-any.whl", hash = "sha256:47d52e3dfb03666ed945becb723d6482e52190917fdb47071440cfdba05d92cb"},
-    {file = "alembic-1.12.1.tar.gz", hash = "sha256:bca5877e9678b454706347bc10b97cb7d67f300320fa5c3a94423e8266e2823f"},
-]
-
-[package.dependencies]
-Mako = "*"
-SQLAlchemy = ">=1.3.0"
-typing-extensions = ">=4"
-
-[package.extras]
-tz = ["python-dateutil"]
-
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -29,59 +10,6 @@ files = [
     {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
 ]
 
-[[package]]
-name = "black"
-version = "23.11.0"
-description = "The uncompromising code formatter."
-optional = false
-python-versions = ">=3.8"
-files = [
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-    {file = "black-23.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:412f56bab20ac85927f3a959230331de5614aecda1ede14b373083f62ec24e6f"},
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-
-[package.dependencies]
-click = ">=8.0.0"
-mypy-extensions = ">=0.4.3"
-packaging = ">=22.0"
-pathspec = ">=0.9.0"
-platformdirs = ">=2"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
-jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-uvloop = ["uvloop (>=0.15.2)"]
-
-[[package]]
-name = "blinker"
-version = "1.7.0"
-description = "Fast, simple object-to-object and broadcast signaling"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
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-]
-
 [[package]]
 name = "certifi"
 version = "2023.11.17"
@@ -208,13 +136,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cloudpickle"
-version = "2.2.1"
-description = "Extended pickling support for Python objects"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "cloudpickle-2.2.1-py3-none-any.whl", hash = "sha256:61f594d1f4c295fa5cd9014ceb3a1fc4a70b0de1164b94fbc2d854ccba056f9f"},
-    {file = "cloudpickle-2.2.1.tar.gz", hash = "sha256:d89684b8de9e34a2a43b3460fbca07d09d6e25ce858df4d5a44240403b6178f5"},
+    {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
+    {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
 ]
 
 [[package]]
@@ -228,69 +156,6 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
-[[package]]
-name = "contourpy"
-version = "1.2.0"
-description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
-python-versions = ">=3.9"
-files = [
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-]
-
-[package.dependencies]
-numpy = ">=1.20,<2.0"
-
-[package.extras]
-bokeh = ["bokeh", "selenium"]
-docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
-test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
-test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
-
 [[package]]
 name = "coverage"
 version = "7.3.2"
@@ -358,21 +223,6 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
-[[package]]
-name = "cycler"
-version = "0.12.1"
-description = "Composable style cycles"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
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-]
-
-[package.extras]
-docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
-tests = ["pytest", "pytest-cov", "pytest-xdist"]
-
 [[package]]
 name = "databricks-cli"
 version = "0.18.0"
@@ -393,27 +243,6 @@ six = ">=1.10.0"
 tabulate = ">=0.7.7"
 urllib3 = ">=1.26.7,<3"
 
-[[package]]
-name = "docker"
-version = "6.1.3"
-description = "A Python library for the Docker Engine API."
-optional = false
-python-versions = ">=3.7"
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 python-versions = ">=3.8"
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 tests = ["pytest (>=4.6)"]
 
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-
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 [[package]]
 name = "pillow"
 version = "10.1.0"
@@ -1610,21 +883,6 @@ files = [
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 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
 
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-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-optional = false
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-
 [[package]]
 name = "setuptools"
 version = "69.0.2"
@@ -2070,93 +1120,6 @@ files = [
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 ]
 
-[[package]]
-name = "sqlalchemy"
-version = "2.0.23"
-description = "Database Abstraction Library"
-optional = false
-python-versions = ">=3.7"
-files = [
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-    {file = "SQLAlchemy-2.0.23-cp39-cp39-win32.whl", hash = "sha256:0a8c6aa506893e25a04233bc721c6b6cf844bafd7250535abb56cb6cc1368884"},
-    {file = "SQLAlchemy-2.0.23-cp39-cp39-win_amd64.whl", hash = "sha256:f3420d00d2cb42432c1d0e44540ae83185ccbbc67a6054dcc8ab5387add6620b"},
-    {file = "SQLAlchemy-2.0.23-py3-none-any.whl", hash = "sha256:31952bbc527d633b9479f5f81e8b9dfada00b91d6baba021a869095f1a97006d"},
-    {file = "SQLAlchemy-2.0.23.tar.gz", hash = "sha256:c1bda93cbbe4aa2aa0aa8655c5aeda505cd219ff3e8da91d1d329e143e4aff69"},
-]
-
-[package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
-typing-extensions = ">=4.2.0"
-
-[package.extras]
-aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
-aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
-asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
-mssql = ["pyodbc"]
-mssql-pymssql = ["pymssql"]
-mssql-pyodbc = ["pyodbc"]
-mypy = ["mypy (>=0.910)"]
-mysql = ["mysqlclient (>=1.4.0)"]
-mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=8)"]
-oracle-oracledb = ["oracledb (>=1.0.1)"]
-postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
-postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
-postgresql-psycopg = ["psycopg (>=3.0.7)"]
-postgresql-psycopg2binary = ["psycopg2-binary"]
-postgresql-psycopg2cffi = ["psycopg2cffi"]
-postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
-pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
-
 [[package]]
 name = "sqlparse"
 version = "0.4.4"
@@ -2201,17 +1164,6 @@ files = [
 [package.extras]
 widechars = ["wcwidth"]
 
-[[package]]
-name = "threadpoolctl"
-version = "3.2.0"
-description = "threadpoolctl"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
-    {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
-]
-
 [[package]]
 name = "toml"
 version = "0.10.2"
@@ -2409,17 +1361,6 @@ files = [
     {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
-[[package]]
-name = "tzdata"
-version = "2023.3"
-description = "Provider of IANA time zone data"
-optional = false
-python-versions = ">=2"
-files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
-]
-
 [[package]]
 name = "urllib3"
 version = "2.1.0"
@@ -2436,54 +1377,6 @@ brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "waitress"
-version = "2.1.2"
-description = "Waitress WSGI server"
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "waitress-2.1.2-py3-none-any.whl", hash = "sha256:7500c9625927c8ec60f54377d590f67b30c8e70ef4b8894214ac6e4cad233d2a"},
-    {file = "waitress-2.1.2.tar.gz", hash = "sha256:780a4082c5fbc0fde6a2fcfe5e26e6efc1e8f425730863c04085769781f51eba"},
-]
-
-[package.extras]
-docs = ["Sphinx (>=1.8.1)", "docutils", "pylons-sphinx-themes (>=1.0.9)"]
-testing = ["coverage (>=5.0)", "pytest", "pytest-cover"]
-
-[[package]]
-name = "websocket-client"
-version = "1.6.4"
-description = "WebSocket client for Python with low level API options"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "websocket-client-1.6.4.tar.gz", hash = "sha256:b3324019b3c28572086c4a319f91d1dcd44e6e11cd340232978c684a7650d0df"},
-    {file = "websocket_client-1.6.4-py3-none-any.whl", hash = "sha256:084072e0a7f5f347ef2ac3d8698a5e0b4ffbfcab607628cadabc650fc9a83a24"},
-]
-
-[package.extras]
-docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
-optional = ["python-socks", "wsaccel"]
-test = ["websockets"]
-
-[[package]]
-name = "werkzeug"
-version = "3.0.1"
-description = "The comprehensive WSGI web application library."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"},
-    {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=2.1.1"
-
-[package.extras]
-watchdog = ["watchdog (>=2.3)"]
-
 [[package]]
 name = "win32-setctime"
 version = "1.1.0"
@@ -2516,4 +1409,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "36c8906f348cbfa07c1c2956e86bb0ea5e1abae90f6e1d72c334ede168deb85a"
+content-hash = "1530be1bac2e126f9d58a1c8d7c3e7daa6ee38cd10626c4b4be7aa0444308cf3"
diff --git a/pyproject.toml b/pyproject.toml
index 3e1246e..19ed1b6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,14 +12,12 @@ torchmetrics = "^1.2.0"
 tqdm = "^4.66.1"
 loguru = "^0.7.2"
 mlconfig = "^0.2.0"
-mlflow = "^2.9.2"
+mlflow-skinny = "^2.9.2"
 
 [tool.poetry.group.dev.dependencies]
-black = "^23.11.0"
-flake8 = "^6.0.0"
-isort = "^5.12.0"
 pytest = "^7.3.1"
 pytest-cov = "^4.1.0"
+ruff = "^0.1.8"
 toml = "^0.10.2"
 
 [build-system]
@@ -28,3 +26,28 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry.scripts]
 template = "template.cli:main"
+
+[tool.ruff]
+exclude = ["build"]
+line-length = 120
+
+[tool.ruff.lint]
+select = [
+    "B", # flake8-bugbear
+    "C", # flake8-comprehensions
+    "E", # pycodestyle errors
+    "F", # pyflakes
+    "I", # isort
+    # "UP", # pyupgrade
+    "W", # pycodestyle warnings
+
+]
+
+[tool.ruff.per-file-ignores]
+"__init__.py" = ["F401", "F403"]
+
+[tool.ruff.isort]
+force-single-line = true
+
+[tool.pytest.ini_options]
+filterwarnings = ["ignore::DeprecationWarning"]
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index f8132bc..0000000
--- a/setup.cfg
+++ /dev/null
@@ -1,17 +0,0 @@
-[flake8]
-max-line-length = 120
-per-file-ignores = __init__.py: F401, F403
-exclude = build/
-
-[yapf]
-based_on_style = google
-column_limit = 120
-
-[isort]
-not_skip = __init__.py
-line_length = 120
-force_single_line = True
-
-[tool:pytest]
-filterwarnings = 
-    ignore::DeprecationWarning
diff --git a/template/trainers/mnist.py b/template/trainers/mnist.py
index 2109808..bff829e 100644
--- a/template/trainers/mnist.py
+++ b/template/trainers/mnist.py
@@ -2,6 +2,10 @@
 import torch
 import torch.nn.functional as F
 from mlconfig import register
+from torch.nn import Module
+from torch.optim import Optimizer
+from torch.optim.lr_scheduler import LRScheduler
+from torch.utils.data import DataLoader
 from torchmetrics import Accuracy
 from torchmetrics import MeanMetric
 from tqdm import tqdm
@@ -13,8 +17,16 @@
 @register
 class MNISTTrainer(Trainer):
     def __init__(
-        self, device, model, optimizer, scheduler, train_loader, test_loader, num_epochs
-    ):
+        self,
+        device: torch.device,
+        model: Module,
+        optimizer: Optimizer,
+        scheduler: LRScheduler,
+        train_loader: DataLoader,
+        test_loader: DataLoader,
+        num_epochs: int,
+        num_classes: int,
+    ) -> None:
         self.device = device
         self.model = model
         self.optimizer = optimizer
@@ -22,39 +34,38 @@ def __init__(
         self.train_loader = train_loader
         self.test_loader = test_loader
         self.num_epochs = num_epochs
+        self.num_classes = num_classes
 
-        self.epoch = 1
         self.best_acc = 0
+        self.state = {"epoch": 1}
 
-    def fit(self):
-        for self.epoch in trange(self.epoch, self.num_epochs + 1):
+    def fit(self) -> None:
+        for epoch in trange(self.state["epoch"], self.num_epochs + 1):
             train_loss, train_acc = self.train()
             test_loss, test_acc = self.evaluate()
             self.scheduler.step()
 
-            metrics = dict(
-                train_loss=train_loss,
-                train_acc=train_acc,
-                test_loss=test_loss,
-                test_acc=test_acc,
-            )
-            mlflow.log_metrics(metrics, step=self.epoch)
-
-            format_string = "Epoch: {}/{}, ".format(self.epoch, self.num_epochs)
-            format_string += "train loss: {:.4f}, train acc: {:.4f}, ".format(
-                train_loss, train_acc
-            )
-            format_string += "test loss: {:.4f}, test acc: {:.4f}, ".format(
-                test_loss, test_acc
-            )
+            metrics = {
+                "train_loss": train_loss,
+                "train_acc": train_acc,
+                "test_loss": test_loss,
+                "test_acc": test_acc,
+            }
+            mlflow.log_metrics(metrics, step=epoch)
+
+            format_string = "Epoch: {}/{}, ".format(epoch, self.num_epochs)
+            format_string += "train loss: {:.4f}, train acc: {:.4f}, ".format(train_loss, train_acc)
+            format_string += "test loss: {:.4f}, test acc: {:.4f}, ".format(test_loss, test_acc)
             format_string += "best test acc: {:.4f}.".format(self.best_acc)
             tqdm.write(format_string)
 
-    def train(self):
+            self.state["epoch"] = epoch
+
+    def train(self) -> None:
         self.model.train()
 
         loss_metric = MeanMetric()
-        acc_metric = Accuracy()
+        acc_metric = Accuracy(task="multiclass", num_classes=self.num_classes)
 
         for x, y in tqdm(self.train_loader):
             x = x.to(self.device)
@@ -73,11 +84,11 @@ def train(self):
         return loss_metric.compute().item(), acc_metric.compute().item()
 
     @torch.no_grad()
-    def evaluate(self):
+    def evaluate(self) -> None:
         self.model.eval()
 
         loss_metric = MeanMetric()
-        acc_metric = Accuracy()
+        acc_metric = Accuracy(task="multiclass", num_classes=self.num_classes)
 
         for x, y in tqdm(self.test_loader):
             x = x.to(self.device)
@@ -96,25 +107,25 @@ def evaluate(self):
 
         return loss_metric.compute().item(), test_acc
 
-    def save_checkpoint(self, f):
+    def save_checkpoint(self, f) -> None:
         self.model.eval()
 
         checkpoint = {
             "model": self.model.state_dict(),
             "optimizer": self.optimizer.state_dict(),
             "scheduler": self.scheduler.state_dict(),
-            "epoch": self.epoch,
+            "state": self.state,
             "best_acc": self.best_acc,
         }
 
         torch.save(checkpoint, f)
         mlflow.log_artifact(f)
 
-    def resume(self, f):
+    def resume(self, f) -> None:
         checkpoint = torch.load(f, map_location=self.device)
 
         self.model.load_state_dict(checkpoint["model"])
         self.optimizer.load_state_dict(checkpoint["optimizer"])
         self.scheduler.load_state_dict(checkpoint["scheduler"])
-        self.epoch = checkpoint["epoch"] + 1
+        self.state = checkpoint["state"]
         self.best_acc = checkpoint["best_acc"]
diff --git a/template/trainers/trainer.py b/template/trainers/trainer.py
index 609a710..ae1a555 100644
--- a/template/trainers/trainer.py
+++ b/template/trainers/trainer.py
@@ -1,3 +1,3 @@
 class Trainer:
-    def train(self):
+    def train(self) -> None:
         raise NotImplementedError
diff --git a/template/utils/utils.py b/template/utils/utils.py
index fc7bd66..8a7420b 100644
--- a/template/utils/utils.py
+++ b/template/utils/utils.py
@@ -1,11 +1,10 @@
 import json
+from pathlib import Path
 
 import numpy as np
 import torch
 import yaml
 
-from pathlib import Path
-
 
 def manual_seed(seed=0):
     """https://pytorch.org/docs/stable/notes/randomness.html"""
diff --git a/tests/test_models.py b/tests/test_models.py
index 905677e..760d7bb 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -1,4 +1,5 @@
 import torch
+
 from template.models import LeNet