saties

amortized-approximation-of-induced-distribution

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

cov-decomposition-admm

Decompose a covariance matrix into lowrank and sparse components using ADMM algorithm.

crowd-datasets

Crowdsourced Datasets

crowdsourced-datasets

Crowdsourced datasets including the individual crowd votes.

FEM_Heston_Model

We apply Finite Element Method (FEM) for option pricing problem under Heston's Model.

FTRL-pytorch

Implementation of FTRL (Follow the Regularized Leader)

heterogeneous_attention

InternLM

InternLM has open-sourced a 7 and 20 billion parameter base models and chat models tailored for practical scenarios and the training system.

saties/amortized-approximation-of-induced-distribution

saties/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

saties/cov-decomposition-admm

Decompose a covariance matrix into lowrank and sparse components using ADMM algorithm.

saties/crowd-datasets

Crowdsourced Datasets

saties/crowdsourced-datasets

Crowdsourced datasets including the individual crowd votes.

saties/FEM_Heston_Model

We apply Finite Element Method (FEM) for option pricing problem under Heston's Model.

saties/FTRL-pytorch

Implementation of FTRL (Follow the Regularized Leader)

saties/heterogeneous_attention

saties/InternLM

InternLM has open-sourced a 7 and 20 billion parameter base models and chat models tailored for practical scenarios and the training system.

saties/node2vec

saties/optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

saties/torchmf

matrix factorization in PyTorch

saties/vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs