markmo

brpc

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" means "better RPC".

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

DrQA

Reading Wikipedia to Answer Open-Domain Questions

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Deep-Learning-Roadmap

:satellite: Organized Resources for Deep Learning Researchers and Developers

tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

Tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

akutan

A distributed knowledge graph store

pypeln

Concurrent data pipelines in Python >>>

bert-extractive-summarizer

Easy to use extractive text summarization with BERT

hobbes

A language and an embedded JIT compiler

NTM-tensorflow

"Neural Turing Machine" in Tensorflow

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

nv-wavenet

Reference implementation of real-time autoregressive wavenet inference

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

transformer-tensorflow

Implementation of Transformer Model in Tensorflow

nodebook

Repeatable analysis plugin for Jupyter notebook

keras_npi

NPI(Neural Programmer-Interpreters) implementation with Keras

POMDPy

POMDPs in Python.

Keras-Trigger-Word

How to do Real Time Trigger Word Detection with Keras | DLology

neo4jupyter

A quick visualization tool for Jupyter and Neo4J

dfkernel

A kernel to support Python dataflows in the Jupyter Notebook environment

QuestionGeneration

tacotron2

Tacotron 2 implementation

auto-labeled-corpus

Corpus of auto-labeled text for the cyber security domain

intent_classifier

pointer-generator

(Python3- TensorFlow 1.5) Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

DSMT-Nets

👓📡 Distantly Supervised Multitask Networks (DSMT-Nets) are a deep-learning approach to semi-supervised learning that utilises distant supervision through many auxiliary tasks.