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algorithm-and-leetcode

I listed All the questions that I wrote at least twice in https://seanforfun.github.io/leetcode/. Though all my solutions can be found at leetcode column. I also made my own conclusions about data structure in this repository, all files will be synchronized on my github.io.

algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

allennlp

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

artgan

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome

:sunglasses: Curated list of awesome lists

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-information-retrieval

A curated list of awesome information retrieval resources

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

awesome-recommendation-engine

The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.

awesome-spark

A curated list of awesome Apache Spark packages and resources.

awesome-text-summarization

A curated list of resources dedicated to text summarization

caffe

Caffe: a fast open framework for deep learning.

codility

My answers to Codility

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

computer-vision-tutorial

computer vision tutorial guide courses books codes slides resources

coursera-machine-learning

Machine Learning by Andrew Ng, Stanford University @ Coursera

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cspiration

ctci

Cracking the Coding Interview, 5th Edition

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

cv

🖼️ CS543 / ECE549: Computer Vision in Spring 2018, University of Illinois at Urbana-Champaign

da-rnn

📄 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT