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2018dsb

2018 Data Science Bowl 2nd Place Solution

adlxmlds2017

Works for Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU

algorithm

leetcode

allennlp

An open-source NLP research library, built on PyTorch.

allennlp-bert-qa-wrapper

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cifar10-changed-in-exercise

cifar10 changed in exercise in terms of tensorflow

cs224n

assignments from 2018 winter

cs229_2017fall

cs231n-2017homework

data-structure

data structure in python

datageek

数据极客TF

dbpn-pytorch

Deep Back-Projection Networks for Super-Resolution (Winner of NTIRE2018 and PIRM2018)

dcscn-super-resolution_change

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

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15个章节，近20万字。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

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

development

distributed-system

分布式系统学习-主要参考MIT课程《Distributed Systems 》

dmsp

Deep Mean-Shift Priors for Image Restoration

ebook-1

A collection of classic computer science books from Internet

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

for-watch

o2ocoupon

fsrcnn-tensorflow

An implementation of the Fast Super-Resolution Convolutional Neural Network in TensorFlow

geoman

A deep learning approach for spatio-temporal forecasting

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

intro_to_hadoop