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data-structure

Implementation of some popular data structures in C++

deap

Distributed Evolutionary Algorithms in Python

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deepdiff

Deep Difference and search of any Python object/data.

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18个章节，50余万字。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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearningtutorials-1

Tutorials from deeplearning.net converted for Torch

dl-notes

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

elements-of-python-style

Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.

example-code

Example code for the book Fluent Python

fe-800

Robo Advisor with Black-Litterman

final

fx-modeling

Baruch Course - Modeling and Market Making in Foreign Exchange

get-ca-py

Extracting Certificate Authorities from a request

googletest

Google Test

greenlet

Lightweight in-process concurrent programming

hackerrank

A social platform for hackers to solve interesting puzzles, build quick hacks, code game bots and collaborate to solve real-world challenges.

hackerrank-1

Solution to HackerRank problems

hackerrank-2

Repository with HackerRank Problem solutions

hackerrank-algorithms

📗 Find solutions to most of the problems on Hackerrank in Java here.

hackerrank_solutions

This repository contains my solutions to easy and medium questions in Hackerrank. Hope that helps.

halite

@twosigma's artificial intelligence programming challenge

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

iq

A Simple Guide to Preparation of Programming Interview

jedi-vim

Using the jedi autocompletion library for VIM.

jupyter-themes

Custom Jupyter Notebook Themes

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.