Popular GitHub Repositories for Workshop

"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

A 4-hour coding workshop to understand how LLMs are implemented and used

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

workshop materials to build intelligent solutions on Open AI

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. ? Best Paper Awards @ NeurIPS ML Safety Workshop 2022

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Build your first agent with Azure AI Agent Service Workshop

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

One-shot Learning and deep face recognition notebooks and workshop materials

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? gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.

[ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles