World4AI Alternatives

Similar projects and alternatives to World4AI

• balancio-kit

  1 22 0.0 C World4AI VS balancio-kit

  Balacio-Kit: Robot de autobalanceo de ultra bajo costo, capaz de correr una red neuronal para mantener el equibrio y de ser controlado remotamente de manera inalámbrica

  

• gdrl

  1 747 10.0 Jupyter Notebook World4AI VS gdrl

  Grokking Deep Reinforcement Learning

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• awesome-artificial-intelligence

  3 9,656 5.9 World4AI VS awesome-artificial-intelligence

  A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

• Ray

  42 31,101 10.0 Python World4AI VS Ray

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  

• wandb

  16 8,211 9.9 Python World4AI VS wandb

  🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

  

• d2l-en

  6 21,704 8.5 Python World4AI VS d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  

• polyaxon

  9 3,483 8.7 Python World4AI VS polyaxon

  MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

  

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• nn

  26 48,430 7.7 Jupyter Notebook World4AI VS nn

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠