Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
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Algorithms for explaining machine learning models
A curated list of network embedding techniques.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android
⚡️ A resource to help figure out what JavaScript array method would be best to use at any given time
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Machine learning platform for Web developers
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Turn any website into an API your agent can call. Learns from the site's own frontend, heals itself when the site changes.
Algorithms for outlier, adversarial and drift detection
Automatic architecture search and hyperparameter optimization for PyTorch
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
An efficient video loader for deep learning with smart shuffling that's super easy to digest
Message Passing Neural Networks for Molecule Property Prediction
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
A collection of resources for learning type theory and type theory adjacent fields.
Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.
A collection of research papers on decision, classification and regression trees with implementations.
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
A curated list of community detection research papers with implementations.
An open-source framework for machine learning and other computations on decentralized data.
Interactive Go programming with Jupyter
🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 79 installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.