Recsys course at polimiThis is the official repository for the Recommender Systems course at Politecnico di Milano.
Stars: ✭ 180 (+26.76%)
CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Stars: ✭ 160 (+12.68%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-42.96%)
Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Stars: ✭ 23 (-83.8%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+271.83%)
Cikm 2019 Analyticup1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
Stars: ✭ 173 (+21.83%)
Recsys项亮的《推荐系统实践》的代码实现
Stars: ✭ 306 (+115.49%)
Kdd Multimodalities RecallThis is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.
Stars: ✭ 61 (-57.04%)
Kddcup 20206th Solution for 2020-KDDCUP Debiasing Challenge
Stars: ✭ 118 (-16.9%)
Awesome Deep Learning Papers For Search Recommendation AdvertisingAwesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
Stars: ✭ 136 (-4.23%)
Data Structure And Algorithm Using PythonIn computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. (Using Python 3)
Stars: ✭ 141 (-0.7%)
All4nlpAll For NLP, especially Chinese.
Stars: ✭ 141 (-0.7%)
HrvA Python package for heart rate variability analysis
Stars: ✭ 141 (-0.7%)
Credit card validations💳 ruby gem for validating credit card numbers, generating valid numbers, luhn checks
Stars: ✭ 140 (-1.41%)
StarnetStarNet
Stars: ✭ 141 (-0.7%)
Pysankeycreate sankey diagrams with matplotlib
Stars: ✭ 140 (-1.41%)
Bob EmploiAn application that provides personalized career and job search advice to jobseekers.
Stars: ✭ 141 (-0.7%)
PopmusicmakerPop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.
Stars: ✭ 140 (-1.41%)
Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
Stars: ✭ 139 (-2.11%)
LmkorPretrained Language Models for Korean
Stars: ✭ 140 (-1.41%)
Kaggle LearningRepository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
Stars: ✭ 141 (-0.7%)
NotebookCollection of jupyter notebooks for demonstrating software.
Stars: ✭ 141 (-0.7%)
NlpaugData augmentation for NLP
Stars: ✭ 2,761 (+1844.37%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+1215.49%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (-0.7%)
ImageprocessingMicaSense RedEdge and Altum image processing tutorials
Stars: ✭ 139 (-2.11%)
RecotourA tour through recommendation algorithms in python [IN PROGRESS]
Stars: ✭ 140 (-1.41%)
DlaDeep learning for audio processing
Stars: ✭ 142 (+0%)
RootfinderArabic root finder with neural nets!
Stars: ✭ 140 (-1.41%)
AgemOfficial implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Stars: ✭ 141 (-0.7%)
DnpAudio Denoising with Deep Network Priors
Stars: ✭ 140 (-1.41%)
SdmSequential deep matching model for recommender system at Alibaba
Stars: ✭ 139 (-2.11%)
Stanford cs231n 2019Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
Stars: ✭ 141 (-0.7%)
Voc2cocoHow to create custom COCO data set for object detection
Stars: ✭ 140 (-1.41%)
Dash ethThis project is trying to fetch real time balance & orderbook of ETH and visualise using dash
Stars: ✭ 140 (-1.41%)
Book This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
Stars: ✭ 141 (-0.7%)
Nbconvert ExamplesExamples that illustrate how nbconvert can be used
Stars: ✭ 139 (-2.11%)
Swift4tfA set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.
Stars: ✭ 141 (-0.7%)
IpytestPytest in IPython notebooks.
Stars: ✭ 139 (-2.11%)
Coco TextCOCO-Text API http://vision.cornell.edu/se3/coco-text/
Stars: ✭ 138 (-2.82%)