JohnSnowLabs / Spark Nlp Workshop
Licence: apache-2.0
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Stars: ✭ 452
Labels
Projects that are alternatives of or similar to Spark Nlp Workshop
D2 Net
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Stars: ✭ 448 (-0.88%)
Mutual labels: jupyter-notebook
Food Recipe Cnn
food image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (-0.88%)
Mutual labels: jupyter-notebook
Tensor House
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Stars: ✭ 449 (-0.66%)
Mutual labels: jupyter-notebook
Ipython Soccer Predictions
Sample iPython notebook with soccer predictions
Stars: ✭ 447 (-1.11%)
Mutual labels: jupyter-notebook
Practical Pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Stars: ✭ 4,329 (+857.74%)
Mutual labels: jupyter-notebook
Pytorch Fastcampus
PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료
Stars: ✭ 447 (-1.11%)
Mutual labels: jupyter-notebook
Pytorch Ntm
Neural Turing Machines (NTM) - PyTorch Implementation
Stars: ✭ 453 (+0.22%)
Mutual labels: jupyter-notebook
Algorithms in ipython notebooks
A repository with IPython notebooks of algorithms implemented in Python.
Stars: ✭ 450 (-0.44%)
Mutual labels: jupyter-notebook
Course V4
Please use fastbook's /clean folder instead of this
Stars: ✭ 449 (-0.66%)
Mutual labels: jupyter-notebook
Cocoapi
COCO API - Dataset @ http://cocodataset.org/
Stars: ✭ 4,776 (+956.64%)
Mutual labels: jupyter-notebook
Attention Learn To Route
Attention based model for learning to solve different routing problems
Stars: ✭ 449 (-0.66%)
Mutual labels: jupyter-notebook
Course Resources Ml With Experts Budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
Stars: ✭ 447 (-1.11%)
Mutual labels: jupyter-notebook
Practical Nlp
Official Repository for 'Practical Natural Language Processing' by O'Reilly Media
Stars: ✭ 452 (+0%)
Mutual labels: jupyter-notebook
Pytorch advanced
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
Stars: ✭ 448 (-0.88%)
Mutual labels: jupyter-notebook
Cryptocurrencyprediction
Predict Cryptocurrency Price with Deep Learning
Stars: ✭ 453 (+0.22%)
Mutual labels: jupyter-notebook
Python Causality Handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Stars: ✭ 449 (-0.66%)
Mutual labels: jupyter-notebook
Deep Learning Workshop
Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data
Stars: ✭ 450 (-0.44%)
Mutual labels: jupyter-notebook
Spark NLP Workshop
Showcasing notebooks and codes of how to use Spark NLP in Python and Scala.
Table of contents
Python Setup
$ java -version
# should be Java 8 (Oracle or OpenJDK)
$ conda create -n sparknlp python=3.6 -y
$ conda activate sparknlp
# Install Spark NLP and PySpark 2.4.x
$ pip install spark-nlp pyspark==2.4.7
Colab setup
import os
# Install JDK 8
! apt-get update -qq
! apt-get install -y openjdk-8-jdk-headless -qq > /dev/null
os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-8-openjdk-amd64"
os.environ["PATH"] = os.environ["JAVA_HOME"] + "/bin:" + os.environ["PATH"]
! java -version
# Install PySpark 2.4.x
! pip install -q pyspark==2.4.7
! pip install -q spark-nlp
Main repository
https://github.com/JohnSnowLabs/spark-nlp
Project's website
Take a look at our official spark-nlp page: http://nlp.johnsnowlabs.com/ for user documentation and examples
Slack community channel
Contributing
If you find any example that is no longer working, please create an issue.
License
Apache Licence 2.0
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].