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)

Face and Body Tracking for VRM 3D models on the web.

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

Evaluating different engineering tricks that make RL work

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

A real world application of a Recurrent Neural Network on a binary classification of time series data

An open source app to help calm you down when needed.

Deep Learning for Time Series Forecasting.

Bib-parser - Convenient script to parse .bib files with the ACM Digital Library like metadata

(SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Code for "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds" @ICRA2021

This project provides the proof of the uniqueness of the equilibrium and the global asymptotic stability.

Simple implementation of Mobile-Former on Pytorch

Some useful blender add-ons for SMPL skeleton's poses and global translation.

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

A new data augmentation method for extreme lighting conditions.

Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"

Uses Open AI Gym environment to create autonomous cryptocurrency bot to trade cryptocurrencies.