Stars
A quick visualization tool for Jupyter and Neo4J
Easy to use extractive text summarization with BERT
Corpus of auto-labeled text for the cyber security domain
Reading Wikipedia to Answer Open-Domain Questions
Implementation of Transformer Model in Tensorflow
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
(Python3- TensorFlow 1.5) Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
👓📡 Distantly Supervised Multitask Networks (DSMT-Nets) are a deep-learning approach to semi-supervised learning that utilises distant supervision through many auxiliary tasks.
Repeatable analysis plugin for Jupyter notebook
Create and run Python notebooks with clear dependencies in Jupyter
📡 Organized Resources for Deep Learning Researchers and Developers
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Reference implementation of real-time autoregressive wavenet inference
DeepMind's Tacotron-2 Tensorflow implementation
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
How to do Real Time Trigger Word Detection with Keras | DLology
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
"Neural Turing Machine" in Tensorflow
NPI(Neural Programmer-Interpreters) implementation with Keras