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Transfer Learning, Domain Adaptation
LSTM-based model for answer selection
Deep Learning and deep reinforcement learning research papers and some codes
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
This repository contain various Natural Language processing api's like Goole Natural language processing , IBM natural language processing , Spacy Natural language processing , NLTK , CoreNLP from Stanford , TextBlob
Curated list of Machine Learning, NLP, Vision Project Ideas
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Recurrent Neural Network - A curated list of resources dedicated to RNN
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Repository for code used in my blog posts
Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In line with this video : https://www.youtube.com/watch?v=qtUNyJlAID0&t=11s
An NLP workshop about concrete solutions to real problems
Convolution visualizations
copper price(time series) prediction using bpnn and lstm
Course notes for CS224N Winter17
Tensorflow deep learning projects
Deep learning models trained to correct input errors in short, message-like text
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Codes for weekly challenges on Deep Learning by Siraj
An open source library for building end-to-end dialog systems and training chatbots.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Accompanying code for "Deep Reinforcement Learning that Matters"
DeepSuperLearner - Python implementation of the deep ensemble algorithm
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285
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.