requirements-light.txt

# Light Requirements

## ML Frameworks
# tensorflow & pytorch are installed via conda
keras==2.3.1 # Deep Learning for humans
xgboost==0.90 # Scalable, Portable and Distributed Gradient Boosting
scikit-learn==0.22.1 # A set of python modules for machine learning and data mining
statsmodels==0.11.0 # Statistical modeling and econometrics in Python
mxnet-mkl==1.5.1.post0 # MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN.

## NLP
spacy==2.2.3 # Industrial-strength Natural Language Processing (NLP) with Python and Cython
nltk==3.4.5 # Natural Language Toolkit
fasttext==0.9.1 # fasttext Python bindings, a library for efficient learning of word representations and sentence classification.
beautifulsoup4==4.8.2 # Beautiful Soup is a library that makes it easy to scrape information from web pages.
soupsieve==1.9.5 # A modern CSS selector implementation for Beautiful Soup.

# Images
opencv-python-headless==4.1.2.30 # Wrapper package for OpenCV python bindings.
opencv-python==4.1.2.30 # Wrapper package for OpenCV python bindings.
scikit-image==0.16.2 # Image processing routines for SciPy - version 0.14.1 is not compatible with numpy 16

## Others
pymongo==3.10.1 # Mongo Client
fire==0.2.1 # A library for automatically generating command line interfaces.
patsy==0.5.1 # A Python package for describing statistical models and for building design matrices.
pandas-profiling==2.4.0 # Generate profile report for pandas DataFrame
tensorboardX==2.0 # TensorBoardX lets you watch Tensors Flow without Tensorflow
boto3==1.11.9 # The AWS SDK for Python