Stars
(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)
Repository for the paper: "Revisiting BPR: A Replicability Study of a Common Recommender System Baseline"
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24
A Comparative Framework for Multimodal Recommender Systems
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Model interpretability and understanding for PyTorch
This is a library built upon RecBole for cross-domain recommendation algorithms
This is a repository of public data sources for Recommender Systems (RS).
Download and preprocess popular sequential recommendation datasets
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
A Real-World Benchmark for Reinforcement Learning based Recommender System