stanbiryukov Goto Github PK

apollo

Highly performant and scalable out-of-the-box gaussian process regression and Bernoulli classification. Built upon GPyTorch, with a familiar sklearn api.

bayesian-sde

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

cookiecutter-hypermodern-python

Hypermodern Python Cookiecutter

determined

Determined: Deep Learning Training Platform

github-to-sqlite

Save data from GitHub to a SQLite database

gribflow

Access open data gribs at any requested time stamp by efficiently parsing and utilizing optical flow methods to advect relevant parameters via a FastAPI interface.

hf-chat-ui

Open source codebase powering the HuggingChat app

httpx

A next generation HTTP client for Python. 🦋

mkdocstrings

:blue_book: Automatic documentation from sources, for MkDocs.

mkposters

Make posters from Markdown files.

modal-examples

Examples of programs built using Modal

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

nyx

Fast and scalable RBF interpolation

observable-jupyter

pytorch-lbfgs

A PyTorch implementation of L-BFGS.

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

sklearn-glmm

scikit-learn wrapper for generalized linear mixed model methods in R

ssa

Streamlit demo visualizing AUS hail reports

stacoverflow

DrivenData flood prediction model

survival

Survival analysis via machine learning

torchdyn

A PyTorch based library for all things neural differential equations and implicit neural models.

torche

Highly performant auto PyTorch feed forward neural network with scikit-learn API.