parlange

AutoML

Deep Reinforcement Learning for Efficient Neural Architecture Search (ENAS) in PyTorch, i.e., AutoML. Code based on the paper https://arxiv.org/abs/1802.03268

caustics

A gravitational lensing simulator for the machine learning era.

gigalens

Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.

github-for-developers

lenstronomy-tutorials

Extension modules to the lenstronomy software package

LSST-LATAM

LSST@LATAM 2024

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

ml-in-cosmology

A comprehensive list of published machine learning applications to cosmology

parlange.github.io

github.io | parlange

pyHalo

A python toolkit for rendering populations of dark matter halos for gravitational lensing simulations

parlange/caustics

A gravitational lensing simulator for the machine learning era.

parlange/gravitational-lensing

Gravitational lensing course

parlange/jax

JAX

parlange/LSST-LATAM

LSST@LATAM 2024

parlange/neural-subhalo-slope-data

Code for "Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation"

parlange/NeuralPLexer

NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

parlange/parlange.github.io

github.io | parlange

parlange/AutoML

Deep Reinforcement Learning for Efficient Neural Architecture Search (ENAS) in PyTorch, i.e., AutoML. Code based on the paper https://arxiv.org/abs/1802.03268

parlange/automl-in-action-notebooks

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

parlange/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

parlange/gigalens

Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.

parlange/lenstronomy-tutorials

Extension modules to the lenstronomy software package

parlange/ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

parlange/ml-in-cosmology

A comprehensive list of published machine learning applications to cosmology

parlange/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

parlange/pyHalo

A python toolkit for rendering populations of dark matter halos for gravitational lensing simulations

parlange/ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

parlange/debvader

Deblending astrophysical sources with variational autoencoders

parlange/get-started-with-JAX

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

parlange/Lens-Detector

parlange/lsst-slchallenge

LSST Static Lens Finding Challenge

parlange/ml-notebooks

Colab/Jupyter noteboks on machine learning

parlange/paltas

Conduct simulation-based inference on strong gravitational lensing systems.

parlange/Physics-Informed-Features-For-Dark-Matter-Morphology

The Physics Informed Features module, created under the international Google Summer of Code program, is a complex tool designed for the generation and manipulation of data in relativistic gravitational lensing studies.

parlange/strong_lensing_vit_resnet

Vision Transformers on Gravitational Lens Images

parlange/systematic-review

Systematic Review of Machine Learning Methods for Strong Lens Detection

parlange/taller-gpt

Taller de Inteligencia Artificial 2024. Facultad de Ingeniaría, UASLP.

parlange/tensorflow-probability

Tensorflow Probability (TFP)

parlange/tutorial-notebooks

Tutorial Jupyter Notebooks for Data Preview 0, created and maintained by the Rubin Observatory Community Science Team.

parlange/ztf_sim

:telescope: Zwicky Transient Facility survey scheduler