Statsforecast
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
Ml AutomationReview before use
4.8KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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Results · “neural-conversation-models”
33–45 / 45
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Results: 45
Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationReview before use
3.7KGitHub
TransformerEngine
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…
Ml AutomationReview before use
3.4KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationReview before use
3.2KGitHub
Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Ml AutomationReview before use
3KGitHub
AIF360
Trusted-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.
Ml AutomationReview before use
2.8KGitHub
Evaluate
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Ml AutomationReview before use
2.5KGitHub
2.3KGitHub
Fairlearn
fairlearn
A Python package to assess and improve fairness of machine learning models.
Ml AutomationReview before use
2.3KGitHub
Sagemaker Python Sdk
aws
A library for training and deploying machine learning models on Amazon SageMaker
Ml AutomationReview before use
2.2KGitHub
Orbit
uber
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Ml AutomationReview before use
2.1KGitHub
AIX360
Trusted-AI
Interpretability and explainability of data and machine learning models
Ml AutomationReview before use
1.8KGitHub
Bindsnet
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
Ml AutomationReview before use
1.7KGitHub
External platform skills
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