Recommendation A/B Testing Integration with Cornac

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

LLM training in simple, raw C/CUDA

A Comparative Framework for Multimodal Recommender Systems

An implementation of a deep learning recommendation model (DLRM)

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

Ten thousand books, six million ratings

Inference Llama 2 in one file of pure C

Inference code for Llama models

LLM inference in C/C++

Tensor library for machine learning

Supercharge Your Model Training

Protocol Buffers - Google's data interchange format

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

An extremely fast Python linter and code formatter, written in Rust.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

serialize all of Python

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

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

ASCII transliterations of Unicode text - GitHub mirror

Prevents your Mac from going to sleep.

A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms

Learning to Rank in PyTorch

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Automatically create Faiss knn indices with the most optimal similarity search parameters.