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data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

data-driven-pdes

data-science-portfolio

This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.

data-science-with-julia

Exploring data science through Julia programming language

data_driven_symbolic_regression

data_driven_symbolic_regression-1

Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.

datadrivendiffeq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

datafoam

Easily convert OpenFOAM cases into dataframes for machine learning

dataset_loaders

A collection of dataset loaders

davsod

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deap

Distributed Evolutionary Algorithms in Python

decouplesegnets

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deep-forest

An on going implementation of the gcForest algorithm

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-learning

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-for-aerodynamic-prediction

This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-with-python

Deep learning codes and projects using Python

deepbsde

Deep BSDE solver in TensorFlow

deepcfd

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepclustering

Methods and Implements of Deep Clustering

deepenergymethods

deepercluster

Implements the unsupervised pre-training of convolutional neural networks

deepgenerativemodelingintro

PyTorch Code used in 'Introduction to Deep Generative Modeling'

deepgenmsm

Code for the results of the Paper: