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awesome-public-datasets

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

banking-class

Parse and categorize banking transactions

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

calamari

OCR Engine based on OCRopy and Kraken

calamari_models

Pretrained model files to be used in calamari

character-level-rnn

character-level model (layered LSTM) using Keras

charcnn_keras

The implementation of text classification using character level convoultion neural networks using Keras

cleanlab

Find label errors in datasets, weak supervision, and learning with noisy labels.

crossview_localisation

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

das2018-tutorial

A tutorial on the PyTorch-based ocropus components.

das_2018_tutorial

DIVAServices Tutorial @ DAS2018

data-science-journal-club

Resources for the data science/machine learning journal club @ WFAIS UJ

deep-char-cnn-lstm

Deep Character CNN LSTM Encoder with Classification and Similarity Models

deep-regex

Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

drrn_cvpr17

Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"

east

A tensorflow implementation of EAST text detector

fastai

The fast.ai deep learning library, lessons, and tutorials

fasttext

Library for fast text representation and classification.

flyingsquid

More interactive weak supervision with FlyingSquid

gnns-for-nlp

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

graphsage

Representation learning on large graphs using stochastic graph convolutions.

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

hungarian-text-mining-workshop

Materials for the Text Mining workshop held in the HuNLP meetup, June 2017

icdar2019-tutorial

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

image2mass

http://proceedings.mlr.press/v78/standley17a/standley17a.pdf

infersent

Sentence embeddings (InferSent) and training code for NLI.