Fix typos

README.md

@@ -2,7 +2,7 @@
 |:-------------------------:|:------------------------:|
 | <img src="media/cube.gif" height="250"/> | <img src="media/camera_estimate.gif" height="250"/> |
 
-# 3d Transforms [![Twitter URL](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)
+# 3D Transforms [![Twitter URL](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2FRishit-dagli%2F3d-transforms)
 
 [![PyPI](https://img.shields.io/pypi/v/tensorflow3dtransforms)](https://pypi.org/project/tensorflow3dtransforms/)
 [![Upload Python Package](https://github.com/Rishit-dagli/3d-transforms/actions/workflows/python-publish.yml/badge.svg)](https://github.com/Rishit-dagli/3d-transforms/actions/workflows/python-publish.yml)
@@ -14,9 +14,9 @@
 [![GitHub followers](https://img.shields.io/github/followers/Rishit-dagli?label=Follow&style=social)](https://github.com/Rishit-dagli)
 [![Twitter Follow](https://img.shields.io/twitter/follow/rishit_dagli?style=social)](https://twitter.com/intent/follow?screen_name=rishit_dagli)
 
-TensorFlow3d Transforms is a library to easily make 3D transformations and work with 3D data. This library originally started as a few functions here and there for my own work which I then turned into a library.
+TensorFlow3D Transforms is a library to easily make 3D transformations and work with 3D data. This library originally started as a few functions here and there for my own work which I then turned into a library.
 
-TensorFlow3d Transforms is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. For this reason, all operators in TensorFlow3d Transforms:
+TensorFlow3D Transforms is designed to integrate smoothly with deep learning methods for predicting and manipulating 3D data. For this reason, all operators in TensorFlow3D Transforms:
 
 - Are implemented using TensorFlow tensors
 - Can handle minibatches of hetereogenous data
@@ -61,4 +61,4 @@ distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
-```
+```