Welcome to the Duke Machine Learning Summer School 2022, our 11th Duke machine learning school. The full description of this event is at https://aihealth.duke.edu/mlss2022/
The MLSS will include 4 hands-on training sessions on implementing machine learning tools with the PyTorch software platform.
Day 1, part 1: Coding basics (Billy Carson)
- Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlss2022/blob/main/day1/day1a_coding_basics_complete.ipynb
- Full solutions notebook: https://github.com/dukeplusds/mlss2022/blob/main/day1/day1a_coding_basics_complete.ipynb
Day 1, part 2: Introduction to PyTorch (Billy Carson)
- Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlss2022/blob/main/day1b_intro_pytorch_student.ipynb
- Full solutions notebook: https://github.com/dukeplusds/mlss2022/blob/main/day1b_intro_pytorch_complete.ipynb
Day 2: Coding for image analysis (Hyeon Ki Jeong)
- Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlss2022/blob/main/day1b_intro_pytorch_student.ipynb
- Full solutions notebook: https://github.com/dukeplusds/mlss2022/blob/main/day1b_intro_pytorch_complete.ipynb
Day 3, part 1: Coding for object segmentation (Akhil Ambekar)
- Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlss2022/blob/main/day3-ObjectSegmentation/day3_student_notebook_part1.ipynb
- Full solutions notebook: https://github.com/dukeplusds/mlss2022/blob/main/day3-ObjectSegmentation/day3_solutions_notebook_part1.ipynb
Day 3, part 2: Coding for object detection (Akhil Ambekar)
- Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlss2022/blob/main/day3-ObjectDetection/day3_student_notebook_part2.ipynb
- Full solutions notebook: https://github.com/dukeplusds/mlss2022/blob/main/day3-ObjectDetection/day3_solutions_notebook_part2.ipynb
Day 4: Coding for natural language processing (Hamed Zaribafzadeh)