Alternatives and similar repositories for transformers-for-sequential-recommendation:

Users that are interested in transformers-for-sequential-recommendation are comparing it to the libraries listed below

• aryan-jadon / Evaluation-Metrics-for-Recommendation-Systems
  This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…
  ☆18Updated 2 months ago
• bhavsarpratik / semantic-search
  [WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy mod…
  ☆15Updated 2 years ago
• januverma / transformers-stuff
  Codes, scripts, and notebooks on various aspects of transformer models.
  ☆27Updated 2 years ago
• fritshermans / pyminhash
  MinHash implementation in Python
  ☆11Updated 8 months ago
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆17Updated last year
• keshavbhandari / Next-Basket-Recommendations
  This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencod…
  ☆11Updated 4 years ago
• cdpierse / transformers-interpret-streamlit
  Streamlit demo app to demonstrate the features of transformers interpret with multiple models.
  ☆25Updated 3 years ago
• kennethleungty / Simulated-Annealing-Feature-Selection
  Feature Selection using Simulated Annealing
  ☆11Updated 2 years ago
• msaroufim / mynotes
  ☆18Updated 3 months ago
• shahrukhx01 / bert-probe
  BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…
  ☆18Updated 2 years ago
• tosh2230 / streamlit-run
  Streamlit apps on Cloud Run with Identity-Aware Proxy (IAP).
  ☆10Updated 3 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• LuisaMaerz / KnowMAN
  KnowMAN: Weakly Supervised Multinomial Adversarial Networks
  ☆12Updated 3 years ago
• amazon-science / graph-lm-ensemble
  ☆14Updated 9 months ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• mariyahendriksen / awesome-intent-analysis
  Reading list for research topics in intent analysis.
  ☆15Updated last year
• HareeshBahuleyan / size-fit-net
  PyTorch Implementation of A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce (RecSys'19)
  ☆13Updated 3 years ago
• tommasoc80 / DALC
  Dutch abusive language data
  ☆11Updated last year
• Ce11an / spacy-cleaner
  Easily clean text with spaCy!
  ☆33Updated last year
• siftly-ai / airdot-deployer
  Tool to take your ML model from local to production with one-line of code.
  ☆25Updated last year
• biarne-a / hm-two-step-reco
  An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
  ☆23Updated 2 years ago
• vinid / prodb
  ☆18Updated 2 years ago
• ashishpatel26 / tpu_tf2
  TPU use in single line in colab using tf2 package.
  ☆11Updated 3 years ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆14Updated last year
• sisinflab / Ducho
  Python framework to extract multimodal features for multimodal recommendation in a highly-customizable way.
  ☆26Updated 2 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 3 months ago
• RecList / evalRS-KDD-2023
  Official Repository for EvalRS @ KDD 2023: a Rounded Evaluation of Recommender Systems
  ☆30Updated last year
• inovex / recsys-training
  Hands-on Training for Recommender Systems
  ☆11Updated 3 years ago
• iesl / softmax_CPR_recommend
  The code repository for "To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders"
  ☆9Updated last year
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago