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

Related tags

Overview

mlwscv2002

Owner

Duke + Data Science (+DS)

DeepGNN is a framework for training machine learning models on large scale graph data.

Cockpit is a visual and statistical debugger specifically designed for deep learning.

PyTorch implementations of Generative Adversarial Networks.

Решения, подсказки, тесты и утилиты для тренировки по алгоритмам от Яндекса.

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones Code

"SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

DSAC* for Visual Camera Re-Localization (RGB or RGB-D)

A library to inspect itermediate layers of PyTorch models.

Optimal space decomposition based-product quantization for approximate nearest neighbor search

paper list in the area of reinforcenment learning for recommendation systems

A user-friendly research and development tool built to standardize RL competency assessment for custom agents and environments.

Language Used: Python . Made in Jupyter(Anaconda) notebook.

A trusty face recognition research platform developed by Tencent Youtu Lab

EXplainable Artificial Intelligence (XAI)

JORLDY an open-source Reinforcement Learning (RL) framework provided by KakaoEnterprise

ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees

[CVPR22] Official codebase of Semantic Segmentation by Early Region Proxy.

Prototype python implementation of the ome-ngff table spec

A style-based Quantum Generative Adversarial Network

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.