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6.438

Algorithms for Inference

awesome-pytorch-list

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

belief-propagation

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

cplusplusthings

C++那些事

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

cs285_fa19_deep_reinforcement_learning

My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

exact-and-approximate-inference-for-graphical-models

Message Passing Over a Junction Tree, Loopy Belief Propagation, Max-Product (MAP inference) variant of the MP and LBP inference algorithms

google-interview-university

A complete daily plan for studying to become a Google software engineer.

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

homework_fall2019

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lda_gibbs_sampling

a python implementation of latent dirichlet allocation(lda) using gibbs sampling algorithm

learn-regex

Learn regex the easy way

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

machine-learning-session

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

markdownhere4zotero

markdown here zotero 插件

max_sum_python

MaxSum is an algorithm about Distributed Constraint Optimization Problems (DCOPs)

maxsum-cpp

Implementation of the Max-Sum Algorithm in C++

microblog

A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

msgpassing

An implementation of graph triangulation, junction tree creation, MAP, sum-product and max-product algorithms

ostep-code

Code from various chapters in OSTEP (http://www.ostep.org)

ostep-projects

Projects for an undergraduate OS course

pgmpy

Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks