mlwscv2002

Welcome to the Duke Machine Learning Winter School: Computer Vision 2022!

The MLWS-CV includes 3 hands-on training sessions on implementing machine learning tools with the PyTorch software platform. You can see the full description at https://plus.datascience.duke.edu/mlwscv2022

Day 1: Introduction to PyTorch (Billy Carson)

Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlwscv2022/blob/main/day1_student_notebook.ipynb
Full solutions notebook: https://github.com/dukeplusds/mlwscv2022/blob/main/day1_solution_notebook.ipynb

Day 2: Pytorch for image analysis with convolutional neural networks (Gavin Karr)

Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlwscv2022/blob/main/day2_student_notebook.ipynb
Full solutions notebook: https://github.com/dukeplusds/mlwscv2022/blob/main/day2_solution_notebook.ipynb

Day 3: PyTorch for image analysis including image segmentation and object detection (Akhil Ambekar)

Part 1:
Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlwscv2022/blob/main/day3_student_notebook_part1.ipynb
Full solutions notebook: https://github.com/dukeplusds/mlwscv2022/blob/main/day3_solutions_notebook_part1.ipynb

Part 2:
Student notebook (contains space for student to code along): https://github.com/dukeplusds/mlwscv2022/blob/main/day3_student_notebook_part2.ipynb
Full solutions notebook: https://github.com/dukeplusds/mlwscv2022/blob/main/day3_solutions_notebook_part2.ipynb

We are using a virtual computing environment provided by Duke's Office of Information Technology (OIT). For those that are interested, the source code for the Docker container can be found here: https://gitlab.oit.duke.edu/mccahill/ml-winter-school

Duke Machine Learning Winter School: Computer Vision 2022

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Overview

mlwscv2002

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Duke + Data Science (+DS)

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

It is the assignment for COMP 576 in Rice University

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

nnFormer: Interleaved Transformer for Volumetric Segmentation

Implementation of momentum^2 teacher

Black box hyperparameter optimization made easy.

Fastshap: A fast, approximate shap kernel

Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV

Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"

TDmatch is a Python library developed to perform matching tasks in three categories:

Code for the paper Task Agnostic Morphology Evolution.

Code for generating the figures in the paper "Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?"

CNN Based Meta-Learning for Noisy Image Classification and Template Matching

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

Repository for the paper "PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation", CVPR 2021.

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

Automated Attendance Project Using Face Recognition

WaveFake: A Data Set to Facilitate Audio DeepFake Detection

Populating 3D Scenes by Learning Human-Scene Interaction https://posa.is.tue.mpg.de/

Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs