6123 Open source projects that are alternatives of or similar to Recotour

pytorch version of neural collaborative filtering

Variational autoencoders for collaborative filtering

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Quick-Data-Science-Experiments

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" and of several follow-up studies.

LibRec: A Leading Java Library for Recommender Systems, see

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

4 different recommendation engines for the MovieLens dataset.

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A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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A library for debugging/inspecting machine learning classifiers and explaining their predictions

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Time Series Forecasting Best Practices & Examples

Some common recommendation system baseline, with description and link.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Lightweight Python library for in-memory matrix completion.

📖Notes and remarks on Machine Learning related papers

recommender system tutorial with Python

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

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rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Examples that illustrate how nbconvert can be used

A blog for data analytics using data science technologies

PTT 八卦版問答中文語料

Sample Codes for NNDL

Code for Prediction and Planning Under Uncertainty (PPUU)

Factorization Machines implementation with Tensorflow

FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

Audio Denoising with Deep Network Priors

This is an introduction to tensorflow

Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

Solutions for Automate the Boring Stuff with Python

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

CNN image classifier implemented in Keras Notebook 🖼️.

Causal Graphical Models in Python

Practical Notebooks for the Deep Learning Indaba 2018

Pytest in IPython notebooks.

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Keras implementation of Sketch RNN

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

Control your lights with dab and t-pose, duh

Arabic root finder with neural nets!

Benchmarking different approaches for categorical encoding for tabular data

COCO-Text API http://vision.cornell.edu/se3/coco-text/

Tensorflow-in-Practice-Specialization

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客