davidnabergoj

davidnabergoj's Stars

• pyqtgraph/pyqtgraph

  Fast data visualization and GUI tools for scientific / engineering applications

  Language:Python3.9k1551.3k1.1k

• jax-md/jax-md

  Differentiable, Hardware Accelerated, Molecular Dynamics

  Language:Jupyter Notebook1.2k46160200

• blackjax-devs/blackjax

  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

  Language:Python86015325108

• google/objax

  Language:Python7712510476

• minaskar/pocomc

  pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

  Language:Python955139

• eelregit/pmwd

  Differentiable Cosmological Forward Model

  Language:Python72161419

• JakobRobnik/MicroCanonicalHMC

  MCHMC: sampler from an arbitrary differentiable distribution

  Language:Jupyter Notebook725149

• EmoryMLIP/OT-Flow

  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104

  Language:Python506016

• mj-will/nessai

  nessai: Nested Sampling with Artificial Intelligence

  Language:Python384462

• CW-Huang/torchkit

  Language:Python37349

• albcab/TESS

  Code to reproduce experiments in Transport Elliptical Slice Sampling

  Language:Python10100

• davidnabergoj/torchflows

  Modern normalizing flows in Python. Simple to use and easily extensible.

  Language:Python10222

• kaijennissen/Normalizing_Flows

  Language:Python7211

• fri-datascience/course_pou

  Language:TeX3333

• davidnabergoj/bootplot

  Bootplot is a package for black-box uncertainty visualization.

  Language:Python2100

• davidnabergoj/potentials

  Potential functions for sampling or optimization

  Language:Jupyter Notebook2100