lenakchen

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

coursera

cs224n-winter-2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cs231

CS231-1

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

CS231n-2017-Summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

CS294-CS231_DeepLearning

cs502

CS502Capstone

CS502Capstone

Data-Science-Decal-Fall-2017

datascience

A Python library for introductory data science

deepbayes-2018

Seminars DeepBayes Summer School 2018

DS502-AI-Engineer

DS502-AI工程师直通车课程项目，包含每一期课程学习和实践资料，同学们可以在issue中发布自己的疑问，互相交流。

examples

TensorFlow examples

GraphAnalytics

Hadoop

Intro-to-Data-Science-in-Python

kafka-streams-examples

Demo applications and code examples for Apache Kafka's Streams API.

kafka_tutorial

materials-fa18

DO NOT EDIT THE CONTENTS OF THIS REPO DIRECTLY! Publicly available materials that are used in the Data 8 Foundations of Data Science course during the Fall 2018 semester. Generated by data-8/assignments (private).

MLEP-public

Public repo for DeepLearning.AI MLEP Specialization

nak

The Nak Machine Learning Library

NLP-Exercises

play-big-data

Play with various big data technologies

pytorch_tutorial

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

SQL

stanford-cs229

Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.