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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

ailearn

A lightweight package for artificial intelligence

aitoolbox

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

alibi

Algorithms for monitoring and explaining machine learning models

automl_survey

awesome-interpretable-machine-learning

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-pytorch-list

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

bayes-nn

Lecture notes on Bayesian deep learning

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesiansvm.jl

Julia Package of the Bayesian Support Vector Machines Algorithm

begin-latex-in-minutes

📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease. Comments and Contributions are welcomed :thumbsup:

candlegp

Gaussian Processes in Pytorch

celerite

Scalable 1D Gaussian Processes in C++, Python, and Julia

city-roads

Visualization of all roads within any city

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

cnn-visualization

CNN可视化、理解CNN

compressionvae

General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.

cpp-primer

C++ Primer 5 answers

cxl_notes

Study Notes

d2l-en

Dive into Deep Learning (CV chapters coming soon)

data-compression

The implementation of various data compression techniques.

data-for-degradation-analysis

deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deepcgp

Deep convolutional gaussian processes.

deepdoa

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

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15个章节，近20万字。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............ 版权所有，违权必究 Tan 2018.06