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lambo

Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)

learning-by-doing

a set of tasks for people to learn basic software and data science skills by completing the tasks

lens_finder

lenstronomy

software package for lens model reconstruction of imaging data

lenstronomy_extensions

Extension modules to the lenstronomy software package

mining-for-substructure-lens

Inference of substructure properties in strong lensing systems with machine learning.

morvanzhou.github.io

莫烦Python Website source code

mumbai-ai-meetup

Repository for all the content presented in the Mumbai AI Meetup - https://www.meetup.com/mumbai-ai-meetup

navier-stokes-numerical-solution-using-fdm-fvm-python-scripting

Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.

ncsa_pytorch_tutorial

nochi

Minimalistic AlphaGoZero-like Engine

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

nsf

Neural networks based dark matter Substructures Finder

pathintegralgroundstate

This is a Path Integral Ground State Monte Carlo code written in Fortran. It is intended to the description of 4He in three dimensions but it can be easily extended to any other homogeneous or trapped system in any dimensions

pde-vae-pytorch

Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

pggan-pytorch

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

pixelcnn-pytorch

A naive implementation of PixelCNN in Pytorch as described in A Oord et. al.

plotneuralnet

Latex code for making neural networks diagrams

powerbox

A python package for making arbitrarily structured, arbitrary-dimension boxes

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pydelfi

Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-mnist-gan

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

pytorch-yolov3-overlapping-galaxy

radio_astronomy_knowledge

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

selfsupervisedlearning_pytorch

PyTorch Implementation of Self-Supervised Learning models

slurm

Basic SLURM scripts for jobs on bridges

tensor-networks-and-quantum-field-theory

This is an open science project aimed at representing the path integral in quantum field theory via a tensor network state.