Dowhy
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
OPENAGENTSKILL / DIRECTORY
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Results: 11
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
scikit-learn-contrib
A high performance implementation of HDBSCAN clustering.
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
alibaba
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
microsoft
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
tensorflow
A flexible, high-performance serving system for machine learning models
Eventual-Inc
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
mcmonkeyprojects
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibi…
MilesCranmer
High-Performance Symbolic Regression in Python and Julia
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
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