ericfeunekes's Stars
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
mirkosavasta/GANetano
Generative Adversarial Network to create synthetic time series
igul222/improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
opendp/smartnoise-samples
Code samples and documentation for SmartNoise differential privacy tools
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
deanmalmgren/textract
extract text from any document. no muss. no fuss.
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
fastai/course-nlp
A Code-First Introduction to NLP course
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
FernandoLpz/Text-Classification-CNN-PyTorch
The aim of this repository is to show a baseline model for text classification through convolutional neural networks in the PyTorch framework. The architecture implemented in this model was inspired by the one proposed in the paper: Convolutional Neural Networks for Sentence Classification.
hexops-graveyard/dockerfile
Dockerfile best-practices for writing production-worthy Docker images.
enuchi/React-Google-Apps-Script
This is your boilerplate project for developing React apps inside Google Sheets, Docs, Forms and Slides projects. It's perfect for personal projects and for publishing complex add-ons in the Google Workspace Marketplace.
rajcscw/nlp-gym
NLPGym - A toolkit to develop RL agents to solve NLP tasks.
ahmetozlu/signature_extractor
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
cs231n/cs231n.github.io
Public facing notes page
jsvine/pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/