Satie's repositories
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)
InternLM
InternLM has open-sourced a 7 and 20 billion parameter base models and chat models tailored for practical scenarios and the training system.
optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
torchmf
matrix factorization in PyTorch
vae-clustering
Unsupervised clustering with (Gaussian mixture) VAEs