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analysis_wechat

backup-openbilibili-go-common

2019年4-22日-bilibili-干杯站后端源码（原包删除前最后一版170M）

bili-spider

📺 B 站全站视频信息爬虫

bilibili_video_download

:rainbow:Bilibili_video_download-B站视频下载

causalrecommendation

Causal inference for recommendation

cofactor

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

collaborative-filtering-for-implicit-feedback-datasets

context-selection-embedding

Context Selection for Embedding Models

edward

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

expo-mf

Exposure Matrix Factorization: modeling user exposure in recommendation

expo-mf-with-confidence

A Statistical Recommender Algorithm By Modeling Users' Exposure.

exponential_family_embeddings

Bernoulli Embeddings for Text

gmm

Variational Inference in Gaussian Mixture Model

hpfrec

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

implicit-cf

A Python implementation of Hu et al. (2008)'s "Collaborative Filtering for Implicit Feedback Datasets"

kvae

Kalman Variational Auto-Encoder

neural-net-matrix-factorization

Exploring neural networks (and variational inference) for collaborative filtering.

nimfa

Nimfa: Nonnegative matrix factorization in Python

p-emb

Exponential family embeddings (Poisson or Bernoulli) for items, for shopping data or recommendation systems

phd_thesis

Exponential Family Embeddings

pmf

probabilistic matrix factorization

pmf-1

This is a python code for probabilistic matrix factorization in recommendation.

probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

probabilistic-matrix-factorization-in-python

Probabilistic matrix factorization (PMF) in Python

python-ssm

Python state-space models

python_for_data_science

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

scipy-cookbook

Scipy Cookbook

sigir16-eals

Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "