diff --git a/stubs/tqdm/tqdm/dask.pyi b/stubs/tqdm/tqdm/dask.pyi
index 2509750615dd..dbd7e6b246b7 100644
--- a/stubs/tqdm/tqdm/dask.pyi
+++ b/stubs/tqdm/tqdm/dask.pyi
@@ -1,10 +1,24 @@
-from _typeshed import Incomplete
-from typing import Any
-from typing_extensions import TypeAlias
+from _typeshed import Incomplete, Self
+from collections.abc import Callable
+from typing import ClassVar
 
 __all__ = ["TqdmCallback"]
 
-_Callback: TypeAlias = Any  # Actually dask.callbacks.Callback
+# dask.callbacks.Callback
+class _Callback:
+    active: ClassVar[set[tuple[Callable[..., Incomplete] | None, ...]]]
+    def __init__(
+        self,
+        start: Incomplete | None,
+        start_state: Incomplete | None,
+        pretask: Incomplete | None,
+        posttask: Incomplete | None,
+        finish: Incomplete | None,
+    ) -> None: ...
+    def __enter__(self: Self) -> Self: ...
+    def __exit__(self, *args) -> None: ...
+    def register(self) -> None: ...
+    def unregister(self) -> None: ...
 
 class TqdmCallback(_Callback):
     tqdm_class: type[Incomplete]
diff --git a/stubs/tqdm/tqdm/keras.pyi b/stubs/tqdm/tqdm/keras.pyi
index 0a5f5c7bdcf9..75e86e92a4a4 100644
--- a/stubs/tqdm/tqdm/keras.pyi
+++ b/stubs/tqdm/tqdm/keras.pyi
@@ -1,10 +1,31 @@
 from _typeshed import Incomplete
-from typing import Any
-from typing_extensions import TypeAlias
 
 __all__ = ["TqdmCallback"]
 
-_Callback: TypeAlias = Any  # Actually tensorflow.keras.callbacks.Callback
+# keras.callbacks.Callback
+class _Callback:
+    validation_data: Incomplete | None
+    model: Incomplete | None
+    params: Incomplete
+    def __init__(self) -> None: ...
+    def set_params(self, params) -> None: ...
+    def set_model(self, model) -> None: ...
+    def on_batch_begin(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_batch_end(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_epoch_begin(self, epoch, logs: Incomplete | None = ...) -> None: ...
+    def on_epoch_end(self, epoch, logs: Incomplete | None = ...) -> None: ...
+    def on_train_batch_begin(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_train_batch_end(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_test_batch_begin(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_test_batch_end(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_predict_batch_begin(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_predict_batch_end(self, batch, logs: Incomplete | None = ...) -> None: ...
+    def on_train_begin(self, logs: Incomplete | None = ...) -> None: ...
+    def on_train_end(self, logs: Incomplete | None = ...) -> None: ...
+    def on_test_begin(self, logs: Incomplete | None = ...) -> None: ...
+    def on_test_end(self, logs: Incomplete | None = ...) -> None: ...
+    def on_predict_begin(self, logs: Incomplete | None = ...) -> None: ...
+    def on_predict_end(self, logs: Incomplete | None = ...) -> None: ...
 
 class TqdmCallback(_Callback):
     @staticmethod