Stars
key Deep Learning engineering tricks in recsys
Building LLM-Enabled Multi Agent Applications from Scratch
Notebooks and examples on how to onboard and use various features of Amazon Personalize
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
An implementation of a deep learning recommendation model (DLRM)
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
[KDD2026] The repo contains the code for "FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets"
An Open Foundation Model and Benchmark to Accelerate Generative Recommendation
Algorithm powering the For You feed on X
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
Data Analysis with Python, Анализ данных на python
The materials for the course 'Data Analysis in Journalism and Political Science', 2020/2021, NRU HSE.
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
JavaScript library to explain any machine learning models anywhere!
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Efficient Deep Learning Systems course materials (HSE, YSDA)
A curated list of awesome online courses about Large Langage Models (LLMs)