Diamond
eloialonso
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Ml AutomationReview before use
2.1KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Results · “lingbot-world”
1–11 / 11
More filters · 1
Results: 11
Face Recognition
ageitgey
The world's simplest facial recognition api for Python and the command line
Ml AutomationReview before use
56.7KGitHub
Dlib
davisking
A toolkit for making real world machine learning and data analysis applications in C++
Ml AutomationReview before use
14.4KGitHub
Cleanlab
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Ml AutomationReview before use
11.5KGitHub
Jetson Inference
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Ml AutomationReview before use
8.9KGitHub
Libpostal
openvenues
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
Ml AutomationReview before use
4.8KGitHub
Chronos
Kodezi
Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times bett…
4.9KGitHub
Audiomentations
iver56
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Ml AutomationReview before use
2.3KGitHub
Production Level Deep Learning
alirezadir
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Ml AutomationReview before use
4.7KGitHub
Hivemind
learning-at-home
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Ml AutomationReview before use
2.5KGitHub
EasyML
ICT-BDA
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
Ml AutomationReview before use
2KGitHub
External platform skills
Browse external directory →Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.