NewEnglandML

60_Days_RL_Challenge

Learn Deep Reinforcement Learning in Depth in 60 days

bert

TensorFlow code and pre-trained models for BERT

bert4keras

light reimplement of bert for keras

d2l-en

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

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

delft

a Deep Learning Framework for Text

DPAC-DialogueGAN

This repo implements GAN-based models for Dialogue Generation (DP-GAN, SeqGAN, and our own proposed DPAC-GAN)

FinanceOps

Research in investment finance with Python Notebooks

keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

Keras-Reinforcement-Learning-Projects

Keras Reinforcement Learning Projects published by Packt

lstm-siamese-text-similarity

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

naacl_transfer_learning_tutorial

Repository of code for the NAACL tutorial on Transfer Learning in NLP

Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

ner-bert

BERT-NER (nert-bert) with google bert https://github.com/google-research.

NLP

NLP-Model_Text-Category-with-GloVe-and-LSTM

Natural Language Processing. From data preparation to building model and deploy the model to web service

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

notebooks

onnxruntime

ONNX Runtime

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

rasa_nlu

💬 Open source library for natural language understanding with intent classification and entity extraction - DIY NLP for chatbots

Simple-QA-EMNLP-2018

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

sketch_rnn_keras

Keras implementation of Sketch RNN

text-classification-demos

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

text_classification

all kinds of text classification models and more with deep learning

Texygen

A text generation benchmarking platform

TF-IDF-DOCUMENT-RETRIEVAL-CHATBOT

Very-deep-cnn-tensorflow

Very deep CNN for text classification

workshops

A few exercises for use at events.