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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

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-pytorch-list

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

buaathesis

北航毕设论文LaTeX模板

c

All Algorithms implemented in C

c-plus-plus

All Algorithms implemented in C++

comparison-of-ukf-ckf-ekf

controlpy

Python controls

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

cs-notes

:books: Computer Science Learning Notes

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

entrust

Trust-Region Optimization in Matlab (allows for bound constraints on design variables)

era

MATLAB code of the Eigensystem Realization Algorithm

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fmin_adam

Matlab implementation of the Adam stochastic gradient descent optimisation algorithm

hopcroft-karp

implementing-minimum-error-rate-classifier

the objective of this experiment is to classify some sample points using the posterior probabilities which uses Gaussian distribution to calculate the likelihood probabilities. The objective of this type of classifier is to minimize the error rate during classification. So this classifier takes decision based on the most posterior probabilities. This classifier is also known as Bayes classifier with minimum error.

interior_points_method

Implementation of Interior Points Method in MATLAB (My Assignment in Linear Optimization course [MTH305] [IIIT-Delhi]).

interview

📚 C/C++面试知识总结

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

leetcode-1

LeetCode Problems' Solutions

mcts

Python Implementations of Monte Carlo Tree Search

mfac

Model Free Adaptive Control

minimum-vertex-cover

Find a minimum vertex cover of a bipartite graph using the Hopcroft-Karp algorithm.

prmlt

Matlab code for machine learning algorithms in book PRML

python

All Algorithms implemented in Python

quasinewtonoptimization

code for Mathematical Optimization with algorithm for quasi-Newton pptimization using BFGS and DFP formula

rapidquadrocoptertrajectories

Computationally low-cost interception trajectories for quadrocopters

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

tutorials