jiwoncpark

jiwoncpark's Stars

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.2k3243232.6k

• google-research/vision_transformer

  Language:Jupyter Notebook10.4k1062071.3k

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.9k81511390

• Yochengliu/awesome-point-cloud-analysis

  A list of papers and datasets about point cloud analysis (processing)

  4.1k2507945

• ufoym/imbalanced-dataset-sampler

  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

  Language:Python2.3k3137264

• google-research/torchsde

  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

  Language:Python1.6k3479199

• NUAAXQ/awesome-point-cloud-analysis-2023

  A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

  1.5k680191

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.3k546151

• google-deepmind/neural-processes

  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

  Language:Jupyter Notebook987429148

• marbl/CHM13

  The complete sequence of a human genome

  916689499

• bayesiains/nflows

  Normalizing flows in PyTorch

  Language:Python8452949118

• YuliaRubanova/latent_ode

  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

  Language:Python5162214126

• csrhddlam/axial-deeplab

  This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

  Language:Python449203269

• flatironinstitute/finufft

  Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3

  Language:C++2981029579

• izmailovpavel/understandingbdl

  Language:Jupyter Notebook23361438

• YannDubs/Neural-Process-Family

  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

  Language:Jupyter Notebook20241045

• wassname/attentive-neural-processes

  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

  Language:Jupyter Notebook907523

• crisbodnar/ndp

  Official code for the ICLR 2021 paper Neural ODE Processes

  Language:Python71628

• exoplanet-dev/celerite2

  Fast & scalable Gaussian Processes in one dimension

  Language:C++7074911

• dartoon/galight

  A python package that decompose the light into PSF and Sersic, fitting based on lenstronomy

  Language:Python471420

• samconnolly/DELightcurveSimulation

  Emmanoulopoulos style lightcurve simulation

  Language:Python345920

• lsst/throughputs

  LSST Simulations repository for baseline evaluation information

  Language:Python2028515

• jwuphysics/predicting-spectra-from-images

  Predicting galaxy spectra from images

  Language:Jupyter Notebook15213

• drds1/pycecream

  python implemetation of the fortran cream AGN lightcurve-fitting code.

  Language:Fortran8317

• astrodatagroup/website

  The blog for the Astronomical Data Group at the CCA

  Language:HTML72332

• devanshipratap/DeepLearningAGN

  Weighing Black Holes Using Deep Learning

  Language:Jupyter Notebook60

• gvernard/gerlumphpp

  C++ library for microlensing

  Language:C++5002

• RichardsGroup/LSST_training

  Scripts & notebooks to access and work with LSST AGN selection training data

  Language:Jupyter Notebook50

• MIT-Omnipush/omnipush-metalearning-baselines

  Language:Python31

• gvernard/lsst_generator

  Language:C++2102