⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！

State of the art ML research and applications

AI code-writing assistant that understands data content

Google Research

Data, Benchmarks, and methods submitted to the M5 forecasting competition

A game theoretic approach to explain the output of any machine learning model.

Source code accompanying O'Reilly book: Machine Learning Design Patterns

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

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

Fit interpretable models. Explain blackbox machine learning.

Low-code framework for building custom LLMs, neural networks, and other AI models

Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.

A curated list of product management advice for technical people.

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Distributed Asynchronous Hyperparameter Optimization in Python

MLOps examples

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Deezer source separation library including pretrained models.

A tool for batch loading data files (json, parquet, csv, tsv) into ElasticSearch

Promise based HTTP client for the browser and node.js

Python interface to the Firebase's REST API

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Just draw a bounding box and you can remove the object you want to remove.

The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

A collection of various deep learning architectures, models, and tips

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"