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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

18.409

18.409 Algorithmic Aspects of Machine Learning: final paper

18303

18.303 - Linear PDEs course

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2016

2017

2017-sima-super-resolution

Source code for the paper "Multi-dimensional Sparse Super-resolution"

2018-computefest

2018-cs109a

2018-cs109b

Harvard CS109b Public Repository

2018fall

2018spring

3d_nn

Raymarching neural network in browsers with WebGL shaders

500lineorless_cn

500 line or less 中文翻译计划。

a-2017

Public Repository for cs109a, 2017 edition

a-_guide_-to_data_sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

a-programmers-guide-to-english

专为程序员编写的英语学习指南 v1.2。在线版本请点 ->

a-to-z-resources-for-students

Curated list of resources for college students :octocat: Show your :heart: by giving a :star:

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

acceleratedmirrordescent

accsgd

Implements pytorch code for the Accelerated SGD algorithm.

activation-visualization-histogram

Compare SELUs (scaled exponential linear units) with other activation on MNIST, CIFAR10, etc.

ad-papers

Papers on Computational Advertising

adam-convergence

Reproducing the results of the influential paper "On The Convergence of ADAM And Beyond."

adanet

Fast and flexible AutoML with learning guarantees.

adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

admm

examples/code for the alternating direction method of multipliers (ADMM)

admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

advanced-probability-theory

记录本校高等概率论课程笔记