xuanheiiis Goto Github PK

dcluster

Clustering by fast search and find of density peaks

decres

Deep learning for identifying cis-regulatory elements and other applications

deep-collaboration-network

Deep Collaboration Network in pytorch

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

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-resources

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

deep-visualization-toolbox

DeepVis Toolbox

deep_learning_object_detection

A paper list of object detection using deep learning.

deepbayes-2018

Seminars DeepBayes Summer School 2018

deepbind

Training and testing of DeepBind models.

deepboost

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-biology

A list of deep learning implementations in biology

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook

MIT Deep Learning Book in PDF format

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeppicker-python

This is the source code for the paper DeepPicker.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (oral presentation).

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgi-1

TensorFlow implementation of Deep Graph Infomax

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

distance-encoding

Distance Encoding for GNN Design

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dmtrl

[Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach

draw_convnet