chaipat-ncm Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithms

Minimal examples of data structures and algorithms in Python

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-datasets

Curated datasets for machine learning tasks according to use cases

awesome-deep-learning-papers

The most cited deep learning papers

awesome-geospatial

Long list of geospatial tools and resources

awesome-geospatial-companies

:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

cartodb

Location Intelligence & Data Visualization tool

code_snippets

courses

Code and HTML page repository for courses.spatialthoughts.com

d6tstack

Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

datasets

Dataset Database และ API ที่พร้อมใช้งานสำหรับสถานการณ์ COVID-19 ของประเทศ

deep-learning

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-object-detection-links.

Object detectors based on DL (from: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html )

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!