Metric learning algorithms in Python
- python
- metric-learning
- scikit-learn
- machine-learning
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Metric learning algorithms in Python
gradslam is an open source differentiable dense SLAM library for PyTorch
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Extra blocks for scikit-learn pipelines.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
A sharp, readable, vector-y version of Monocraft, the programming font based on Minecraft
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
A research toolkit for particle swarm optimization in Python
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
Super S3 command line tool
ThePhish: an automated phishing email analysis tool
A research-friendly, high-performance multi-agent collaboration coding framework.
A system for assigning and grading notebooks
Deep learning in Python
Read-only mirror of https://gitlab.gnome.org/GNOME/meld
Don't reverse engineer it twice. 17,000+ open-source tools built by reverse engineering closed apps, APIs, devices, protocols, file formats, games and AI tools. Search site + agent skill + MCP server, refreshed nightly.
ObsPy: A Python Toolbox for seismology/seismological observatories.
Bloodhound Reporting for Blue and Purple Teams
Train a deep learning net with OpenStreetMap features and satellite imagery.
OBD-II serial module for reading engine data
Full featured multi arch/os debugger built on top of PyQt5 and frida
Async completion framework made ease.
Bitcoin made easy.