A machine learning library for Clojure built on top of Weka and friends
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Agent skill: examine a product you're authorised to rebuild, build your own, then test against the original and fix gaps until every must-have on a written checklist passes. Inspired by REA (@morluto), not affiliated. MIT.
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.
learn browserify with this educational adventure
Learning ground for iOS Design Pattern included with sample projects for MVC, MVP, MVVM, and VIPER
- swift
- playground
- ios
- architecture
BodyVista, learn human anatomy through immersive exploration. 🫁 🦷 🫀
👨👩👧👦 - My personal Repo to learn all 23 Gang of Four patterns and all SOLID Principles using Swift and Playgrounds
- design-patterns
- swift
- swift-playgrounds
- solid-principles
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
- autodiff
- automatic-differentiation
- cross-platform
- deep-learning
A curated list of excellent books to learn PostgreSQL — from beginner‑friendly introductions to advanced internals, administration, and performance tuning.
- pgadmin
- postgres-extension
- postgres-tools
- postgresql
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Kata to learn about Polymorphism
Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)
Coq Protocol Playground with Se(xp)rialization of Internal Structures.
- coq
- serialization
- json
- sexp
Implementation of Jos Stam's Real-Time Fluid Dynamics for Games paper using javascript as a playground for learning the WebGPU API.
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
- tflite-model
- tensorflow-lite
- colab-notebook
- tutorials
Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
- cheminformatics
- dft-calculations
- automation
- feature
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
- beamforming
- mmwave
- positioning
- 5g
common creational, behavioural and structural patterns implemented in go 🤩
- go
- design-patterns
- software-engineering
- software-development
Configure Python functions explicitly and safely
- hyperparameters
- machine-learning
- deep-learning
- python3
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
- clojure
- computer-vision
- kotlin
- opencv
Axon/Myelin segmentation using Deep Learning
- deep-learning
- machine-learning
- myelin
- axon
Learn How to use Google Map API for Android from Basic to Advance with complete examples.
- maps
- android-app
- android-tutorial
- android-example
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
- aloha
- flow-matching
- icra2026
- jax