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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

awesome-system-for-machine-learning

A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

cs231n.github.io

Public facing notes page

csapp-labs

Solutions and Notes for Labs of Computer Systems: A Programmer's Perspective 3rd Editon // 《深入理解计算机系统》第三版的实验文件、解答与笔记

data-mining-pku

Instruction of assignment in course "Data Warehousing and Data Mining Technology", Spring and Summer Semester, 2017.

decision-tree

基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法

fairseq

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

gettothepoint

Pytorch implementation of "Get to the point: Get To The Point: Summarization with Pointer-Generator Networks"

gitskills

gta-tensor

High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019

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.

image-processing

Code for image processing and speckle tracking algorithm.

interview

📚 C/C++面试基础知识总结

jupyters_and_slides

learngit

lihang-code

《统计学习方法》的代码实现

manualspeckletracking

motionsegmentation

Motion correction, explicit spatio-temporal regularization of motion tracking, random speckles enhancement, and segmentation.

nonmonotonic_text

Non-Monotonic Sequential Text Generation

notes-and-homeworks

PKU EECS courses

online-speckle-tracking-in-ultrasound-images

onnx

Open standard for machine learning interoperability

os_course_info

os course info

pku

北大计算机考研资料

pkucourse

北大计算机课程大作业

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

pxst-development

Ptychography X-ray Speckle Tracking method develops on 3D tomography

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media