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1–24 of 27 · Most stars

🧑‍🏫 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, ... 🧠

A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the community's development of image generation and unified models(click to website to see our blog)

  • awesome
  • gemini-2-5-flash-image
  • nano-banana

An iBeacons example app for iOS 10, with Apple Watch (watchOS 3.0) support, written in Swift 3.

  • ibeacon
  • ibeacon-support
  • beacon-region
  • apple-watch

XML sources of SICP and SICP JS, and support for generating Interactive SICP JS, PDF, e-book and comparison editions

  • javascript
  • textbook
  • source-academy
  • sicp

Proof of concept developer code and samples to help be successful with all ArcGIS developer products (Python, NET, JavaScript, Android…). The repository is designed to be an exchange for sharing coding conventions and wisdom to developers at all skill levels.

  • web-development
  • data-management
  • spatial-analysis
  • native-development

A curated list of awesome programming, development, technical support and discussion channels, groups, communities, resources and other shiny things

A community-curated directory for exploring, requesting, and supporting independently recreated software

  • clean-room
  • clean-room-reimplementation
  • community
  • community-driven

Teaching materials for a future Foundation of Embodied AI course, with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T, and SONIC.

Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.

  • ruby
  • peer-reviews
  • rails-application
  • students

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.