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Name: code-artisan-legend007
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Name: code-artisan-legend007
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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
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
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
北航毕设论文LaTeX模板
All Algorithms implemented in C
All Algorithms implemented in C++
Python controls
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
:books: Computer Science Learning Notes
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.
Trust-Region Optimization in Matlab (allows for bound constraints on design variables)
MATLAB code of the Eigensystem Realization Algorithm
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
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.
Implementation of Interior Points Method in MATLAB (My Assignment in Linear Optimization course [MTH305] [IIIT-Delhi]).
📚 C/C++面试知识总结
:pencil: Python / C++ 11 Solutions of All LeetCode Questions
LeetCode Problems' Solutions
Python Implementations of Monte Carlo Tree Search
Model Free Adaptive Control
Find a minimum vertex cover of a bipartite graph using the Hopcroft-Karp algorithm.
Matlab code for machine learning algorithms in book PRML
All Algorithms implemented in Python
code for Mathematical Optimization with algorithm for quasi-Newton pptimization using BFGS and DFP formula
Computationally low-cost interception trajectories for quadrocopters
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.