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Lists (5)
Starred repositories
[ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
Learning in infinite dimension with neural operators.
Code for "A comparison of nonlinear extensions of the ensemble Kalman filter," Comp. Geo. 2022
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
State-space deep Gaussian processes in Python and Matlab
Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
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Updated Aug 26, 2024
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
IVON optimizer for neural networks based on variational learning.
A curated repository of awesome Bayesian optimization resources.
Understanding Deep Learning - Simon J.D. Prince
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
JAX - A curated list of resources https://github.com/google/jax
[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
This is the official code release for Bayesian Flow Networks.
Sparse LInear Multiple Kernel Learning (SLIM-KL)
A simple code for plotting figure, colorbar, and cropping with python
Probabilistic time series modeling in Python