Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs

Fast Greedy MAP Inference for DPP

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Clustering sentence embeddings to extract message intent

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Re…

Python toolbox for sampling Determinantal Point Processes

A deep ranking personalization framework

Code demos for my medium articles

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…

A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms

To implement reranking techniques for recommendation system and search engine.

code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"

Author's PyTorch implementation of BCQ for continuous and discrete actions

Course project for https://deeppavlov.ai/rl_course_2020

Recommender system based on Flink and Reinforcement Learning

Reinforced Recommendation toolkit built around pytorch 1.7

allRank is a framework for training learning-to-rank neural models based on PyTorch.

A library to conduct ranking experiments with transformers.

Natural language toolkit for Indonesian Language (Bahasa)

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Unsupervised Multilingual Word Embeddings (EMNLP 2018)

Deep reinforcement learning for recommendation system

Deep Reinforcement Learning for Movies Recommendation System