zhong2024,github

100-days-of-ml-code

100 Days of ML Coding

2016-10-facebook-fact-check

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-pytorch-list

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

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

bayesbyhypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bayesianneuralnetwork

a repo sharing Bayesian Neural Network recent papers

blog-posts

This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-bayesian-nonparametrics-papers

The collection of papers about combining deep learning and Bayesian nonparametrics

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-neural-networks-healthcare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

deeplearning-500-questions

deeplearning-models

A collection of various deep learning architectures, models, and tips

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

docs

TensorFlow documentation

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

learn-python3

Learn Python 3 Sample Code

learning-from-data

记录Learning from data一书中的习题解答

mcdo

A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

numpy-ml

Machine learning, in numpy

planets1010

practising Git

prml

PRML algorithms implemented in Python

python

All Algorithms implemented in Python

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