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autoencoder-meetup

Presentation about Autoencoders for Seoul AI Meetup on July 8, 2017.

autograd

Efficiently computes derivatives of numpy code.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

background-tool

bayes_gmm

Bayesian Gaussian mixture models in Python.

bayesian-linear-regression

A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

cmic_deeplearningjc

CMIC deep learning journal club

darknet

Convolutional Neural Networks

deep-learning-class

Deep Learning Practical Lectures

detectorch

Detectorch - detectron for PyTorch

examples

Examples files for PyQt5

examples-1

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face-aging-caae

Age Progression/Regression by Conditional Adversarial Autoencoder

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gpy

Gaussian processes framework in python

image-segmentation-tools

Ultimate goal: retinal layer segmentation of OCT images

ivoctpy

Intravascular Optical Coherence Tomograph

kalman-filters

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

keras-gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

machine-learning-examples

meteor-wizard-example

AutoForm Wizard example app

nccu-jupyter-math

這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。

optic-nerve-cnn

Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

pandas_exercises

Practice your pandas skills!

pyqt4

Unofficial repo with snapshot of PyQt 4.9.1 for easier submodule linking.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pytorch-examples

Simple examples to introduce PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch