diff --git a/.github/workflows/nightly-release.yml b/.github/workflows/nightly-release.yml
index e155c7255..47b7b2eb1 100644
--- a/.github/workflows/nightly-release.yml
+++ b/.github/workflows/nightly-release.yml
@@ -51,7 +51,9 @@ jobs:
 
       - name: code style checks
         run: |
-          flake8 aim
+          set -e
+          ruff check .
+          ruff format . --check
 
       - name: unit-tests
         run: |
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 3e583cc52..a6a636115 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,6 @@
 # Changelog
 
-## Unreleased
+## 3.23.0 Jul 15, 2024
 
 ### Enhancements:
 - Relax `numpy` version upper bound to include `numpy<3` (judahrand)
diff --git a/aim/VERSION b/aim/VERSION
index a7e7070f8..ee893b7e0 100644
--- a/aim/VERSION
+++ b/aim/VERSION
@@ -1 +1 @@
-3.22.0
+3.23.0
diff --git a/aim/cli/init/commands.py b/aim/cli/init/commands.py
index fc48930a7..1ef6fc354 100644
--- a/aim/cli/init/commands.py
+++ b/aim/cli/init/commands.py
@@ -24,7 +24,7 @@ def init(repo, yes, skip_if_exists):
         elif yes:
             re_init = True
         elif skip_if_exists:
-            click.echo('Repo exists at {}. Skipped initialization.'.format(repo.root_path))
+            click.echo('Repo exists at {}. Skipped initialization.'.format(repo_path))
             return
         else:
             re_init = click.confirm(
diff --git a/aim/web/ui/package.json b/aim/web/ui/package.json
index 29142feee..a270b3e29 100644
--- a/aim/web/ui/package.json
+++ b/aim/web/ui/package.json
@@ -1,6 +1,6 @@
 {
   "name": "ui_v2",
-  "version": "3.22.0",
+  "version": "3.23.0",
   "private": true,
   "dependencies": {
     "@aksel/structjs": "^1.0.0",
diff --git a/examples/pytorch_track.py b/examples/pytorch_track.py
index 7464295c8..3927356cb 100644
--- a/examples/pytorch_track.py
+++ b/examples/pytorch_track.py
@@ -12,8 +12,8 @@
 # Initialize a new Run
 aim_run = Run()
 
-# Device configuration
-device = torch.device('cpu')
+# moving model to gpu if available
+device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
 
 # Hyper parameters
 num_epochs = 5
@@ -118,8 +118,7 @@ def forward(self, x):
 
 
 # Test the model
-model.eval()
-with torch.no_grad():
+with torch.inference_mode():
     correct = 0
     total = 0
     for images, labels in test_loader:
diff --git a/examples/pytorch_track_images.py b/examples/pytorch_track_images.py
index 1c216c9ef..adb693a2f 100644
--- a/examples/pytorch_track_images.py
+++ b/examples/pytorch_track_images.py
@@ -13,8 +13,8 @@
 # Initialize a new Run
 aim_run = Run()
 
-# Device configuration
-device = torch.device('cpu')
+# moving model to gpu if available
+device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
 
 # Hyper parameters
 num_epochs = 5
@@ -122,8 +122,7 @@ def forward(self, x):
 
 
 # Test the model
-model.eval()
-with torch.no_grad():
+with torch.inference_mode():
     correct = 0
     total = 0
     for images, labels in tqdm(test_loader, total=len(test_loader)):