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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.

Turn DeepSeek Harness into a self-hosted enterprise Agent platform with knowledge, deep research, content generation, vibe coding, browser automation, governance, and admin controls.

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

A "run" function for asyncio-based apps that does all the boilerplate.

  • async
  • async-await
  • asynchronous
  • asynchronous-tasks

Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

  • ai-text-detection
  • explainable-ai
  • interpretability
  • mechanistic-interpretability

pyMOR - Model Order Reduction with Python

  • python
  • model-reduction
  • model-order-reduction
  • control-systems

Pipit is a Wagtail CMS boilerplate which aims to provide an easy and modern developer workflow with a React-rendered frontend.

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

Local-only browser fingerprint & identity rotation toolkit for authorized security testing. Tor/obfs4, coherent profiles, WebRTC/DNS leak protection.

  • browser-privacy
  • cli
  • fingerprinting
  • identity-rotation

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

  • hyperopt
  • hyperparameter-optimization
  • hyperparameter-tuning
  • hyperparameters-optimization