lillianfly Goto Github PK

abcnn

Implmentiaion of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

awesome-question-answering

Resources, datasets, papers on Question Answering

bert

TensorFlow code and pre-trained models for BERT

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

chatbot-zh-torch7

中文Neural conversational model in Torch

chinese-annotator

Annotator for Chinese Text Corpus (under development, welcome for ideas)

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cs231n.github.io

Public facing notes page

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deepinterestnetwork

deeplearningcoursecodes

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

design-resource

A list of design resources.

end-to-end-negotiator

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

faceswapper

Python换脸系列应用。Python applications for swapping faces.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-neural-style-tensorflow

A tensorflow implementation for fast neural style!

flashtext

Extract Keywords from sentence or Replace keywords in sentences.

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

irgan

IRGAN SIGIR paper experimental code

lc-all-solutions

My own leetcode solutions by python

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

lillianfly.github.io

matchzoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

memn2n

End-To-End Memory Network using Tensorflow

models

Models and examples built with TensorFlow

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

python

python学习