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An open-source screen recorder built with web technology
Training machine to write Katakana using Sequence-to-Sequence technique
Simple keras chat bot using seq2seq model with Flask serving web
Notebooks covering Intro to CNN, Transfer Learning using VGG16
Implementation of seq2seq word-level model using keras
Train a 4-layer Convolutional Neural Network to detect trigger word
(In development) Applying deep learning architectures to model sequences such as natural language, audio etc towards language modelling and generation.
Empower Sequence Labeling with Task-Aware Language Model
Augmenting word embeddings with their surrounding context using bidirectional RNN
A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:
Generating English sentences using Long Short-Term Memory (LSTM) Networks
Theano implementation of siamese LSTMs for evaluating semantic similarity between sentences.
Match LSTM & Answer Pointer, Bi-directional Attention Flow Models for Machine Comprehension on SQuAD Dataset
Python codes for common Machine Learning Algorithms
This repository is intended to be used to store the implementation of code that is commonly used in machine learning, using python + numpy, drawing with matplotlib
a pytorch implementation of match lstm question answering model
Code related to blog posts on my Medium page
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Pytorch Implementation of "Mimicking Word Embeddings using Subword RNNs(https://arxiv.org/abs/1707.06961)" and It is especially for Korean.
This repository is about making a reccomdation system with PyTorch
A hierarchical recurrent neural network model for detecting multiple intents on text
keras bi-LSTM-CRF for multiple domain output (NER and intent detection)
Experiments on various methods of named entity recognition based on Deep Learning。
Natural Language Generation using LSTM-Keras
This repo contains my natural language processing projects including the use of neural language models for text generation based on Spinoza's works and a sentiment analysis "in reverse" applied to movie reviews.
Done as a part of Speeh and Language Processing Elective at KU
A neural network language model to show relationships between skills
Next Generation Natural Language Processing with Python [Video], Published by Packt
Natural Language Generation with a denoising autoencoder
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.