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Name: René Parlange
Type: User
Bio: MSc in Computer Science, PhD student
Twitter: parlange
Name: René Parlange
Type: User
Bio: MSc in Computer Science, PhD student
Twitter: parlange
Atari - Deep Reinforcement Learning algorithms in TensorFlow
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
Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
A gravitational lensing simulator for the machine learning era.
Deep learning strong lens finder
Guide to install cuda and cudnn with Anaconda
Repo for the Deep Reinforcement Learning Nanodegree program
Playing trading games with deep reinforcement learning
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Software for simulations used in the DeepLense project
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
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.
Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.
Gravitational lensing course
JAX
Binary classifier with convolutional neural network
Simulating strong gravitational lenses on LSST, DES, and Roman Space Telescope
Extension modules to the lenstronomy software package
LEXACTUM (Lens EXtrActor CaTania University of Malta) was developed to explore new solutions for the Gravitational Lens Finding Challenge 1.0 (http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.html), primarily those based on Convolutional Neural Networks (CNNs).
LSST@LATAM 2024
Public repo for DeepLearning.AI MLEP Specialization
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.
A comprehensive list of published machine learning applications to cosmology
Colab/Jupyter noteboks on machine learning
Neural Architecture Search (NAS) papers with code
Code for "Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation"
NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.