90 skills found · Page 1 of 3
JavierAntoran / Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
microsoft / MInference[NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filling on an A100 while maintaining accuracy.
FranxYao / Deep Generative Models For Natural Language ProcessingDGMs for NLP. A roadmap.
JuliaGaussianProcesses / Stheno.jlProbabilistic Programming with Gaussian processes in Julia
Phylliade / Awesome Machine Learning RoboticsA curated list of resources about Machine Learning for Robotics
AaltoML / BayesNewtonBayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
joennlae / HalutmatmulHashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
Oracen-zz / MIDASMultiple imputation utilising denoising autoencoder for approximate Bayesian inference
AaltoML / Kalman JaxApproximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
akosiorek / SqairImplementation of Sequential Attend, Infer, Repeat (SQAIR)
konstantinos-p / Bayesian Neural Networks Reading ListA primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
dbtsai / LibDAIA free and open source C++ library for Discrete Approximate Inference in graphical models
saudiwin / Idealstanidealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
marcjwilliams1 / ApproxBayes.jlApproximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia
team-approx-bayes / Dnn2gpApproximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
lhnguyen102 / CuTAGICUDA implementation of Tractable Approximate Gaussian Inference
Tom-Ryder / VIforSDEsA variational method for fast, approximate inference for stochastic differential equations.
dflemin3 / ApproxposteriorA Python package for approximate Bayesian inference and optimization using Gaussian processes
austinsilveria / TricksyFast approximate inference on a single GPU with sparsity aware offloading
YingzhenLi / Dropout BBalphaImplementations of the ICML 2017 paper (with Yarin Gal)
