vikingmew Goto Github PK

deep_srl

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

deeprl-informationextraction

Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954

deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

deepspeech.pytorch

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

deepspeedexamples

Example models using DeepSpeed

deepvoice3_pytorch

PyTorch implementation of convolutional networks-based text-to-speech synthesis models

densecontinuoussentances

An aspiring attempt to generate a continuous space of sentences with DenseNet

densenet.mxnet

A MXNet implementation of DenseNet (with BC structure)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dialog-system-with-task-retrieval-and-seq2seq

2018 JDDC对话大赛亚军解决方案

diffsinger

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Forked and maintained by the OpenVPI community

dilatedrnn

Tensorflow implementation for DilatedRNN

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

discourse-parsing

Fast Rhetorical Structure Theory (RST) Discourse Parser

disgaea_5_how_to

How to play Disgaea 5

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

dqn-mxnet

MXNet implementation of Deep Q-learning

draw_convnet

dynamic-evaluation

dynet

DyNet: The Dynamic Neural Network Toolkit

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

e2e-coref

End-to-end Neural Coreference Resolution

e2e-ie-release

Code accompanying End-to-End Information Extraction without Token-Level Supervision

ea-thesaurus

The Edinburgh Associative Thesaurus (EAT) is a set of word association norms showing the counts of word association as collected from subjects.

eccv16_attr2img

Torch implementing of attribute2image project

eccv2016

Code to replicate "Generating Visual Explanations"

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

emnlp2017-relation-extraction

Context-Aware Representations for Knowledge Base Relation Extraction

emotional-vits

无需情感标注的情感可控语音合成模型，基于VITS

empath-client

analyze text with empath