Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises incl
TIGER is a Python toolbox to conduct graph vulnerability and robustness research. TIGER contains numerous state-of-the-art methods to help users conduct graph vulnerability and robustness analysis on graph structured data.
A Flax (Linen) implementation of ResNet (He, Kaiming, et al. 2015), ResNet-D (He, Tong et al. 2020), and ResNest (Zhang, Hang et al. 2020). The code is modular so you can mix and match the various stem, residual, and bottleneck im
Metatheory.jl is a general purpose metaprogramming and algebraic computation library for the Julia programming language, designed to take advantage of the powerful reflection capabilities to bridge the gap between symbolic mathema
This library contains JAX and Pytorch implementations of neural ODEs and Bayesian layers for stochastic variational inference. A rudimentary JAX implementation of differentiable SDE solvers is also provided, refer to torchsde 
Lambda Networks from the paper LambdaNetworks: Modeling Long-Range Interactions Without Attention by Bello et al. Adds support for Rank 3 and Rank 5 tensor inputs as well as initial implementation of ResNet-D with Lambda Convoluti
This repository provides a minimal implementation of adaptive gradient clipping (AGC) (as proposed in High-Performance Large-Scale Image Recognition Without Normalization1) in TensorFlow 2. The paper attributes AGC as a crucial co