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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…
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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…
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Uplift modeling and causal inference with machine learning algorithms
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A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.
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查看技能说明FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit…
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Converted CoreML Model Zoo.
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FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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Automated Penetration Testing Agentic Framework Powered by Large Language Models
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Chronos: Pretrained Models for Time Series Forecasting
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ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
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TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data