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Explore the skillCatboost
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
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51 Skills
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Explore the skillcatboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
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Explore the skilldoccano
Open source annotation tool for machine learning practitioners.
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Explore the skillh2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
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Explore the skillinterpretml
Fit interpretable models. Explain blackbox machine learning.
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Explore the skillAngel-ML
A Flexible and Powerful Parameter Server for large-scale machine learning
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Explore the skilltensorflow
A flexible, high-performance serving system for machine learning models
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Explore the skilltimeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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Explore the skillonline-ml
🌊 Online machine learning in Python
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Explore the skillrllm-org
Democratizing Reinforcement Learning for LLMs
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Explore the skillmicrosoft
Simple and Distributed Machine Learning
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Explore the skillgrobidOrg
A machine learning software for extracting information from scholarly documents
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Explore the skillyanshengjia
Machine Learning and Agentic AI Resources, Practice and Research
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Explore the skilldusty-nv
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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Explore the skilliree-org
A retargetable MLIR-based machine learning compiler and runtime toolkit.
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Explore the skillPennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
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Explore the skillMAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models