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deepjavalibrary
An Engine-Agnostic Deep Learning Framework in Java
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Explore the skilldeepjavalibrary
An Engine-Agnostic Deep Learning Framework in Java
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Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
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Explore the skillrust-ml
A Rust machine learning framework.
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Explore the skillpy-why
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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Explore the skillgoogle-deepmind
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
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Explore the skilliree-org
A retargetable MLIR-based machine learning compiler and runtime toolkit.
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Explore the skillPAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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Explore the skillpytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Machine learning platform for Web developers
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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
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Explore the skilltslearn-team
The machine learning toolkit for time series analysis in Python
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Explore the skillml-tooling
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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Explore the skillNVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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Explore the skillTrusted-AI
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.