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A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A curated list of resources dedicated to scene text localization and recognition
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
MS Word templates for a more readable BioRxiv product
Bidirectional Recurrent Neural Network based sequence labeling for Medical Text.
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Collections of books for learning Data Science...
holoclean implimentation
Modular web visualizations
CapsNet for NLP
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
A Capsule Implement with Pure Keras
A barebones PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube
A reading list for papers on causality for natural language processing (NLP)
Uplift modeling and causal inference with machine learning algorithms
Predicting the stock market with sentiment analysis and LSTM techniques
PyBites Code Challenges
An implementation of Chinese Whispers in Python.
submission for the project
A handbook of statistical machine learning algorithms where each algorithm is described consistently to be accessible, usable, and understandable.
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
Various computer vision and OpenCV utilities (Python and C++).
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.