crrflying Goto Github PK

3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

alphapose

Real-Time Multi-Person Pose Estimation System

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-question-answering

Resources, datasets, papers on Question Answering

awesome-speech-recognition-speech-synthesis-papers

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

c

crrflying.github.io

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

data-structure

《数据结构》-严蔚敏.吴伟民-教材源码

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeppose_tf

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

dssm-lookalike

fism

implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2

gan

some demo of GANs

gbdt

A simple GBDT in Python

gc-mc

gcmc

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

gitskills

gnnpapers

Must-read papers on graph neural networks (GNN)

gr-inspector

Signal Analysis Toolbox for GNU Radio

graphsage_rl

Advancing GraphSAGE with A Data-driven Node Sampling

inaspeechsegmenter

CNN-based audio segmentation toolkit. Allows to detect speech, music and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

kg-beijing

北京知识图谱学习小组

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。