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books

Awesome Books

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

cs-interview-knowledge-map

Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.

cs61b

http://datastructur.es/sp17/

cs6250_computer_networks

dapl

Autoencoder network for imputing missing values

data-science-question-answer

A repo for data science related questions and answers

emacs.dz

Awesome emacs config files

fma

FMA: A Dataset For Music Analysis

gain

Generative Adversarial Imputation Networks (GAIN)

grokking_algorithms

Code for the book Grokking Algorithms (http://manning.com/bhargava)

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.

imputation

https://www.biorxiv.org/content/early/2017/07/24/167858

interview-bit

Solutions to problems on Interview Bit

mac-dev-setup

A beginner's guide to setting up a development environment on Mac OS X

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-university-of-washington

Assignments for University of Washington Machine Learning Specialization through Coursera

machine-learning-with-python

Python codes for common Machine Learning Algorithms

mastering-emacs-in-one-year-guide

Be great at emacs in one year

midas

Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

new-grad-positions-2022

A collection of New Grad full time roles in SWE, Quant, and PM.

orgmode-cn

orgmode中文主页(非官方)

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

probability

Probabilistic reasoning and statistical analysis in TensorFlow

py-books

A collection of Python books 📖

system-design-primer

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

teach-data-science-ucla-master-appl-stats

Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs