The basic distribution probability Tutorial for Deep Learning Researchers
- deep-learning
- mathmatics
- probability
- gaussian
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The basic distribution probability Tutorial for Deep Learning Researchers
Awesome resources on normalizing flows.
Pocket Science Lab - Scripts for Sensor Experiments
High-quality implementations of standard and SOTA methods on a variety of tasks.
[SIGGRAPH Asia 2023 (Technical Communications)] EasyVolcap: Accelerating Neural Volumetric Video Research
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Spearmint Bayesian optimization codebase
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Social media plugin for eventyay
Exhibition plugin to manage exhibitors and sponsors on eventyay, the open source event management solution
Full python interactive 3D Gaussian Splatting viewer for real-time editing and analyzing.
The repository host gives no description.
Open Source AI powered Interpretation Platform https://voxbento.com
Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".
Bitpay integration for eventyay
Team shifts plugin for eventyay
《深度学习与计算机视觉》配套代码
Veditor
[SIGGRAPH Asia 2026] 4DAnyone: Create Anyone in 4D from a Casual Monocular Video
Telegram bot for searching tweets by Loklak API
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
Official implementation of the SIGGRAPH 2024 paper "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets"
Fast, flexible and fun neural networks.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization