Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.

Computational Advertising Related Papers 2025

[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

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 TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

The official PyTorch implementation of Google's Gemma models

This is the data for KB4Rec

Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".

transcripts and captions for 3blue1brown videos

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

Solve puzzles. Learn CUDA.

Solve puzzles. Improve your pytorch.

Unified framework for building enterprise RAG pipelines with small, specialized models

List of papers on NeurIPS2023

Language models for recommendation

A collection of AWESOME things about Graph-Related LLMs.

Understanding Deep Learning - Simon J.D. Prince

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

provides a common interface to many IR measure tools

Official implementation of the paper "KG-TORE: Tailored recommendations through knowledge-aware GNN models" accepted at RecSys 2023

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)