daviddatascientist Goto Github PK
Name: David DataScientist
Type: User
Bio: Machine Learning and Data Science Evangelist, HPC Cloud Specialist, Founder and Innervator
Name: David DataScientist
Type: User
Bio: Machine Learning and Data Science Evangelist, HPC Cloud Specialist, Founder and Innervator
fast image augmentation library and easy to use wrapper around other libraries
:books: A collection of edge/contour/boundary detection papers and toolbox.
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Implementation of some deep learning algorithms.
Code for our CVPR 2020 work.
Early stopping for PyTorch
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
A toolkit for developing and comparing reinforcement learning algorithms.
Seismic image processing for geologic faults
Jakarta JSON Processing
Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)
A fully automated, accurate, and extensive scanner for finding log4j RCE CVE-2021-44228
Code for the Lovász-Softmax loss (CVPR 2018)
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
Models and examples built with TensorFlow
Matlab code for machine learning algorithms in book PRML
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Totally Versatile Miscellanea for Pytorch
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
Spherical CNNs
Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data -- Authors: Augusto Cunha, Axelle Pochet, Helio Lopes, Marcelo Gattass
Snapshot Ensemble in Keras
An Open Source Machine Learning Framework for Everyone
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.