The KCORES Agent benchmarking project is designed to evaluate the tool-call capabilities of single-modal/multi-modal models.

Sandbox for training deep learning networks

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Deep Gaussian Processes in Python

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Awesome resources of yousan.ai(closely related to deep learning).

Game Boy emulator written in Python

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路,完整单步/回看/变速/语音讲解在 algomooc.com）

零基础学习spark，大数据学习

Check out the new game server:

Notebooks about Bayesian methods for machine learning

Learn how to develop, deploy and iterate on production-grade ML applications.

ApacheCN 数据结构与算法译文集

🇨🇳 翻译: 学习正则表达式的简单方法

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

📜 33 JavaScript concepts every developer should know.

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/OpenAI/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Python programs, usually short, of considerable difficulty, to perfect particular skills.

📚 A public list of APIs from round the web.

Random Forest Library In Python Compatible with Scikit-Learn

Code from my experiments on Numerai

Topological Data Analysis in Python

This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.

🆒 ↔️ 🆕 Visualize relationships between terms