-
Updated
Jul 4, 2019 - Jupyter Notebook
computervision
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
Here are 9 public repositories matching this topic...
Notebooks from my Jovian.ml course on Deep Learning with PyTorch
-
Updated
Jan 7, 2021 - Jupyter Notebook
Efficient b7 Training, Transfer Learning
-
Updated
Sep 19, 2021 - Jupyter Notebook
Exercise notebooks for CVND.
-
Updated
May 31, 2018 - Jupyter Notebook
Build tool and notebooks to create the Yolov7 App for the Teknoir Platform.
-
Updated
Aug 26, 2024 - Python
Exploration of different pre-trained models to make predictions on Flickr images.
-
Updated
Dec 8, 2022 - Jupyter Notebook
Learn computer vision step by step with OpenCV Bootcamp. Includes Colab notebooks covering image processing, video, filtering, panorama, HDR, object tracking, face detection, TensorFlow object detection & pose estimation with OpenPose.
-
Updated
Sep 2, 2025 - Jupyter Notebook
Exploration and implementation of an inverse image search using transfer learning and nearest neighbors search.
-
Updated
Dec 8, 2022 - Jupyter Notebook
Welcome to the Computer Vision & Deep Learning repository. This repository serves as a comprehensive, hands-on guide covering everything from fundamental image processing concepts to advanced state-of-the-art deep learning architectures. Through a series of carefully structured Jupyter Notebooks, learners and researchers can explore.
-
Updated
May 22, 2026 - Jupyter Notebook
- Followers
- 2.4k followers
- Website
- github.com/topics/computer-vision
- Wikipedia
- Wikipedia