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newenglandml's Projects

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

acl2017-non-factoid-qa

Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"

adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

aind-nlp-bookworm

A simple question-answering system built using IBM Watson's NLP services.

algorithms

Minimal examples of data structures and algorithms in Python

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

arxiv2018-xling-sentence-embeddings

Concatenated p-mean Embeddings as Universal Cross-Lingual Sentence Representations

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bert

TensorFlow code and pre-trained models for BERT

bitcoinforecast

Predict bitcoin price with deep learning

cape-webservices

Entrypoint for all backend cape webservices

cdma-ner

Cross-Domain Model Adaptation for Named Entity Recognition

chatbot

A Neural Conversation Model implemented in PyTorch.

chatbothotel

A Chatbot demo for DialogFlow (Formerly called API.AI)

chatlearner

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

cs20

CS20 : Tensorflow for Deep Learning Research의 내용 및 코드를 정리

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deep-learning-samples

Sample code for deep learning & neural networks

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-semantic-similarity-model-pytorch

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.

deep-siamese-text-similarity

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.

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

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