roman-dusek

roman-dusek's Stars

• n8n-io/n8n

  Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

  Language:TypeScript49.9k3812k8.1k

• skypilot-org/skypilot

  SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

  Language:Python6.8k701.9k515

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

  Language:Python1.5k531226

• AnswerDotAI/rerankers

  A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

  Language:Python1.1k102160

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python9792533189

• Zheng-Chong/CatVTON

  CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).

  Language:Python9641273114

• fmind/mlops-python-package

  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

  Language:Jupyter Notebook80295122

• THUwangcy/ReChorus

  “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

  Language:Python556144692

• wildltr/ptranking

  Learning to Rank in PyTorch

  Language:Python474101969

• nixiesearch/nixiesearch

  Hybrid search engine, combining best features of text and semantic search worlds

  Language:Scala3764607

• mlabonne/graph-neural-network-course

  Free hands-on course about Graph Neural Networks using PyTorch Geometric.

  Language:Jupyter Notebook3027159

• uuazed/numerapi

  Python API and command line interface for the numer.ai machine learning competition

  Language:Python177164472

• resumejob/system-design-in-practice

  Get ready for System Design Interviews using practical examples.

  1665032

• o19s/hello-ltr

  Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

  Language:Jupyter Notebook165184962

• TorchJD/torchjd

  Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

  Language:Python1595361

• Swiggy/Moo-GBT

  Library for Multi-objective optimization in Gradient Boosted Trees

  Language:Python776214

• yueqirex/LRURec

  [WSDM 2024] Official PyTorch Implementation of Linear Recurrent Units for Sequential Recommendation (LRURec)

  Language:Python52127

• WhatAShot/ExcelFormer

  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.

  Language:Python49567

• councilofelders/meetups

  Materials from CoE sponsored meetups

  24901

• otto-de/MultiTRON

  🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.

  Language:Python24300

• gauravchak/user_preference_modeling

  Multiple ways to model user preference in recommender systems

  Language:Python14102

• AIM-SE/DA4Rec

  Language:Python12431

• jarokaz/merlin-on-vertex

  Language:Jupyter Notebook9504

• karapostK/hassaku

  Hassaku is a(nother) research-oriented Recommender System Framework written mostly in Python and leveraging PyTorch. Hassaku hosts the main procedure for data processing, training, testing, hyperparameter optimization, metrics computation, and logging for several Collaborative Filtering-based Recommender Systems.

  Language:Python6200

• yueqirex/ModSAR

  [Under review] This is PyTorch-Lightning and Ray-Tune implementation of AE/AR reality check on self-attentive sequential recommenders

  Language:Python6200

• gauravchak/value_model_tuning

  nDCG and regret based tools to find value model weights

  Language:Python42

• TheNoiselessNoise/csfd_scraper

  Simple scraper for CSFD.cz, a Czech movie database.

  Language:Python4301

• Li-fAngyU/sequential_rec

  Implement our enhanced loss base on CIKM2020-S3Rec repo, and provide tutorials to implement enhanced loss at Aprec repo.

  Language:Python3101

• jarokaz/vertex-ai-workshop

  Language:Jupyter Notebook2100

• Tigxy/SiBraR---Single-Branch-Recommender

  A Multi-Modal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios

  Language:Python2111