newenglandml Goto Github PK
Type: User
Type: User
Learn Deep Reinforcement Learning in Depth in 60 days
Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"
ADAM - A Question Answering System. Inspired from IBM Watson
A simple question-answering system built using IBM Watson's NLP services.
Minimal examples of data structures and algorithms in Python
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
API for Tensorflow model in Flask
Concatenated p-mean Embeddings as Universal Cross-Lingual Sentence Representations
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
TensorFlow code and pre-trained models for BERT
light reimplement of bert for keras
Predict bitcoin price with deep learning
Entrypoint for all backend cape webservices
Cross-Domain Model Adaptation for Named Entity Recognition
A Neural Conversation Model implemented in PyTorch.
A Chatbot demo for DialogFlow (Formerly called API.AI)
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
CS20 : Tensorflow for Deep Learning Research의 내용 및 코드를 정리
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
Deep Learning Specialization by Andrew Ng on Coursera.
:satellite: Organized Resources for Deep Learning in Natural Language Processing
Sample code for deep learning & neural networks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Hands-on Deep Reinforcement Learning, published by Packt
My PyTorch implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
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.