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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mlwscv2002

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Duke + Data Science (+DS)

The code for paper "Learning Implicit Fields for Generative Shape Modeling".

Simple torch.nn.module implementation of Alias-Free-GAN style filter and resample

Multiple-criteria decision-making (MCDM) with Electre, Promethee, Weighted Sum and Pareto

Exploring Simple Siamese Representation Learning

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This is the implementation of the paper "Self-supervised Outdoor Scene Relighting"

[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion

A library for performing coverage guided fuzzing of neural networks

Image-retrieval-baseline - MUGE Multimodal Retrieval Baseline

MINERVA: An out-of-the-box GUI tool for offline deep reinforcement learning

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Official repository for: Continuous Control With Ensemble DeepDeterministic Policy Gradients

Real-time VIBE: Frame by Frame Inference of VIBE (Video Inference for Human Body Pose and Shape Estimation)

Experiments with Fourier layers on simulation data.

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration

Scene-Text-Detection-and-Recognition (Pytorch)

Convert dog pictures into various painting styles. Try LimnPet

So-ViT: Mind Visual Tokens for Vision Transformer

Vision transformers (ViTs) have found only limited practical use in processing images