anamarina

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way. No scripts.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

dowhy

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 graphical models and potential outcomes frameworks.

captum

Model interpretability and understanding for PyTorch

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

EconML

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

awesome-backend

🚀 A curated and opinionated list of resources (English & Russian) for Backend developers | Структурированный список ресурсов для изучения Backend разработки

Datasets-for-Recommender-Systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

cornac

A Comparative Framework for Multimodal Recommender Systems

RecSysDatasets

This is a repository of public data sources for Recommender Systems (RS).

CORL

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

FinQA

Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"

RL4RS

A Real-World Benchmark for Reinforcement Learning based Recommender System

HybridQA

Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"

2022-NIPS-Tenrec

stattests

Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests

Sequential-Recommendation-Datasets

Download and preprocess popular sequential recommendation datasets

oreilly-hands-on-gpt-llm

Hands on Applications with GPT and other Large Language Models

TIFUKNN

kNN-based next-basket recommendation

pyglass

Graph Library for Approximate Similarity Search

RecBole-CDR

This is a library built upon RecBole for cross-domain recommendation algorithms

ConvFinQA

Data and code for EMNLP 2022 paper "ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering"

ease_rec

embarrassingly shallow autoencoder

qqmbr

Mathematical layout for web and paper

lena-voita.github.io

odebook

Introductory textbook on Ordinary Differential Equations (in Russian)

sansa

SANSA - sparse EASE for millions of items

time_aware_item_weighting

Repository contains implementation and experiments with current SOTA models for Next Basket Recommendation task and author's TAIW model.

time_dependent_nbr