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abcpy

ABCpy package

ad

Fast, transparent calculations of first and second-order automatic differentiation

adawhatever

MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.

arxivsearch

Pulls papers from arXiv on a weekly basis

autograd

Efficiently computes derivatives of numpy code.

autolrs

Automatic learning-rate scheduler

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

badam

Code which implements BADAM

bambi_resources

Educational resources

bayes-nn

Lecture notes on Bayesian deep learning

bayes-workflow-book

Source files for the book "Bayesian Workflow Using Stan"

bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

bayesian-neural-network-pytorch

Bayesian Neural Network For Pytorch

bayesian-neural-networks

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

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

bnaf

Pytorch implementation of Block Neural Autoregressive Flow

botorch

Bayesian optimization in PyTorch

covariancesrobustnessvbpaper

cs229

Stanford CS229 (Autumn 2017)

csc411_fall2018_tutorials

A collection tutorial materials for the Fall 2018 CSC411/CSC2515 (Introduction to Machine Learning) at the University of Toronto.

data-analysis

Data Science Using Python

dataset-downloader

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepglm

Train deepGLM with Matlab, R and Python

deepglmm

Train a deepGLMM model

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-with-tensorflow-notes

龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

deepxde

A library for scientific machine learning

detection-of-breast-cancer-using-neural-networks

This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.

dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"