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aeropython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

awesome-gans

Awesome Generative Adversarial Networks with tensorflow

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

basicopenfoamprogrammingtutorials

Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

class.vision

Computer vision and Deep learning in SRU

conjugate-gradient

Painless conjugate gradient notebooks

coursera_advance_algorithm

Coursera algorithms specialization course.

coursera_advanced_algorithm

coursera_algorithms_on_graphs

My solutions to Algorithms on Graphs using python and c++

cpp-cheat-sheet

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

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、Java、Python、C++

cs231n-assignments

My solutions to CS231n assignments.

cs231n.github.io

Public facing notes page

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

drake

A planning, control, and analysis toolbox for nonlinear dynamical systems. More info at

ece6550

My homeworks for Linear Systems and Controls. They are cute

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.

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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.

keras

Deep Learning for humans

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

manim

Animation engine for explanatory math videos

ml2017fall

Machine Learning (EE 5184) in NTU

ntu_ml2017

my notes of mechine learning taught by Hungyi Lee at National Taiwan University