A Curated List of Must-read Papers on Recommender System.

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

Convergent Cross Mapping in Scikit Learn's style

Tensorflow implementation of conditional variational auto-encoder for MNIST

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)

Unsupervised clustering with (Gaussian mixture) VAEs

Conditional variational autoencoder implementation in Torch

A community repository for benchmarking Bayesian methods

Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"

Experimentation of deep learning on the subjects of micro-expression spotting and recognition.

Multi-dimensional Functional Principal Component Analysis

RNN classifier built with Keras to classify MNIST dataset

Keras callback example

机器学习和量化分析学习进行中

sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)

A Keras port of Single Shot MultiBox Detector

Tensorflow function to make a tensor sparse (gradients supported)

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A Quantum Chemistry program written in Python 3 supporting RHF, UHF, TDHF, CIS, MP2, DFT, CCSD and CCSD(T) methods.

Tools for fitting and evaluating finite mixtures of linear regressions for subsets