A python library for self-supervised learning and latent world models on images.
- deep-learning
- self-supervised-learning
- machine-learning
- computer-vision
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A python library for self-supervised learning and latent world models on images.
Motion films that never cut to the next slide: every beat grows out of the one before, one continuous camera, continuity measured by an oracle. Product launch films and feature demos, made with a coding agent.
Collaborative forensic timeline analysis
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Visualize and compare datasets, target values and associations, with one line of code.
:sunglasses: A curated list of robotics libraries and software
🦀 Jumper — an crab robot.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
CodeChecker is an analyzer tooling, defect database and viewer extension for static and dynamic analyzer tools.
Eleven free Claude skills that test a business before you launch it: a board trained on Hormozi, Thiel and Jobs, a marketing director, a CFO, and a consumer panel of 100 buyer agents. Free, MIT.
:spider_web: input/output for many mesh formats
A python module for scientific analysis of 3D data based on VTK and Numpy
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Super timeline all the things
Open source time series library for Python
QuTiP: Quantum Toolbox in Python
A curated list of resources related to Industrial Control System (ICS) security.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
A full spaCy pipeline and models for scientific/biomedical documents.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.
BirdNET analyzer for scientific audio data processing.