chenwuperth Goto Github PK

3d-brain-segmentation

This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .

adm-vrp

Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)

amazon-sagemaker-safe-deployment-pipeline

attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-transit

Community list of transit APIs, apps, datasets, research, and software :bus::star2::train::star2::steam_locomotive:

aws-batch-example

Example use of AWS batch

aws-batch-processing-job-repo

Orchestrating an Application Process with AWS Batch using AWS CloudFormation

capstone_aws_deepracer

Code that was used in the Article "An Advanced Guide to AWS DeepRacer"

claran

ClaRAN - Classifying Radio Galaxies Automatically with Neural Networks

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

context-tree-weighting

Python implementation of the context tree weighting (CTW) method for sequential probability assignment.

crash_course_on_rl

This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.

csa-challenge

Compare various implementations of the connections scan algorithm

deep-seismic-fav-docs

Papers related to Deep Learning, GANs, applied to seismic

deep_learning_for_tabular_data

A conceptual presention and a data generator making easier using tabular data with TensorFlow and Keras

deeplogs

Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.

dfencoder

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

drl_dm

explainerdashboard

explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.

facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

fastmaskrcnn

Mask RCNN in TensorFlow

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

gps2roadnetwork

Reading list of the topic about utilizing vehicle generated GPS data to update road networks

graph-pointer-network

gtfspy

Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞

gtfspy-webviz

Interactive tools for GTFS data visualization and analysis

gym-anm

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

highway-env

A minimalist environment for decision-making in autonomous driving