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A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Parse and categorize banking transactions
Mapping a variable-length sentence to a fixed-length vector using BERT model
OCR Engine based on OCRopy and Kraken
Pretrained model files to be used in calamari
character-level model (layered LSTM) using Keras
The implementation of text classification using character level convoultion neural networks using Keras
Find label errors in datasets, weak supervision, and learning with noisy labels.
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
A tutorial on the PyTorch-based ocropus components.
DIVAServices Tutorial @ DAS2018
Resources for the data science/machine learning journal club @ WFAIS UJ
Deep Character CNN LSTM Encoder with Classification and Similarity Models
Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"
A tensorflow implementation of EAST text detector
The fast.ai deep learning library, lessons, and tutorials
Library for fast text representation and classification.
More interactive weak supervision with FlyingSquid
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Representation learning on large graphs using stochastic graph convolutions.
Tutorials and training material for the H2O Machine Learning Platform
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
Implementation of Segnet, FCN, UNet and other models in Keras.
http://proceedings.mlr.press/v78/standley17a/standley17a.pdf
Sentence embeddings (InferSent) and training code for NLI.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.