Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Automatically profile dataframes in the Jupyter sidebar

PyRCA: A Python Machine Learning Library for Root Cause Analysis

Your friendliest open source AI automation tool ✨ Workflow automation tool 200+ integration / Enterprise automation tool / Zapier Alternative

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.

Machine Learning Engineering Open Book

Creative interactive views of any dataset.

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Code for XPERT algorithm from Personalized Retrieval over Millions of Items

Running large language models on a single GPU for throughput-oriented scenarios.

Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Postgres with GPUs for ML/AI apps.

Website containing illustrations about Machine Learning theory!

Machine Learning and Computer Vision Engineer - Technical Interview Questions

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

A reporting tool for the community. View and analyze reports of street-harassment in Bengaluru.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Cell type prioritization in single-cell data

☁️ Build multimodal AI applications with cloud-native stack

💯 Curated coding interview preparation materials for busy software engineers

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Source code for the split annotations project.

High-performance runtime for data analytics applications

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning