An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR.
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Updated
Dec 16, 2024 - Jupyter Notebook
An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR.
🌋👵🏻 Yo'LLaVA: Your Personalized Language and Vision Assistant
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024
NeurIPS 2024 | 🏃♂️ SMPL Visual Annotation Tool
Official Implementation (Pytorch) of the "LLaMo: Large Language Model-based Molecular Graph Assistant", NeurIPS 2024
The offical implementation of [NeurIPS2024] Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation https://arxiv.org/abs/2412.08139
NeurIPS 2024 | 🤸♂️💥🚗Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise, NeurIPS 2024
A collection of my posters with pptx files...
This repository analyzes AI research trends from NeurIPS 2024, showcasing emerging topics like transformers, diffusion models, and reinforcement learning. Includes keyword analysis, word clouds, and topic clustering to visualize trends and evolution in AI research. Extensible for multi-year comparisons and other conferences.
Add a description, image, and links to the neurips2024 topic page so that developers can more easily learn about it.
To associate your repository with the neurips2024 topic, visit your repo's landing page and select "manage topics."