Refine high-quality datasets and visual AI models
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Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
Clean PyTorch implementations of imitation and reward learning algorithms
- reward-learning
- inverse-reinforcement-learning
- imitation-learning
- gymnasium
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
- python
- text-processing
- text-parser
- python-module
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Translated🐾 Purrge — a macOS AI disk cleanup tool that supports Claude Code and Codex: it alerts you when space is low, the AI judges item by item what can be cleaned, and it only cleans up after you tick the items and confirm
- ai
- claude-code
- disk-cleanup
- macos
GPTModels - a multi model, window based LLM AI plugin for neovim, with an emphasis on stability and clean code
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning
Transform Git history: rewrite, clean, and optimize your repositories with ease.
- automation
- cli
- git
- python
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.