Giter Site home page Giter Site logo

Zhongchi Wang's Projects

adabound icon adabound

An optimizer that trains as fast as Adam and as good as SGD.

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arxiv.repo icon arxiv.repo

A list of papers on arxiv that have published project code.

bssn icon bssn

It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.

copytranslator icon copytranslator

Foreign language reading and translation assistant based on copy and translate.(Latest: v0.0.7-Kylin-RC1)

deep-learning-learning-notes icon deep-learning-learning-notes

《深度学习》因封面为一簇花丛又称“花书”,是由深度学习领域老、中、青三代结合而成的经典之作,被业界尊称为“AI圣经”。其中Yoshua Bengio为深度学习的三驾马车之一,Ian Goodfellow因发明了GAN而闻名,最后Aaron Courville为青年研究者。花书从应用数学基础开始,围绕着神经网络拓展开来,因此相较于《机器学习》全面介绍不同类型的算法,花书可以看作为神经网络章节的延伸,从深度前馈神经网络,到卷积神经网络,再到循环神经网络,以及辅助神经网络训练调参的正则化、优化方法、实践策略。记录了本人在学习过程中的核心知识点以及辅助理解的拓展知识点,希望能帮助大家打开深度学习新世界的大门。

dshomework icon dshomework

MOOC数据结构(陈越/何钦铭)每周作业(C语言)

esquisse icon esquisse

RStudio add-in to make plots with ggplot2

findgse icon findgse

findGSE is a tool for estimating size of (heterozygous diploid or homozygous) genomes by fitting k-mer frequencies iteratively with a skew normal distribution model.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.