Claude Octopus
nyldn
Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.
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Results: 103
nyldn
Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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, tβ¦
MAIF
π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
apache
A cluster computing framework for processing large-scale geospatial data
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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.
WenjieDu
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific anβ¦
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
huggingface
π€ Evaluate: A library for easily evaluating machine learning models and datasets.
fairlearn
A Python package to assess and improve fairness of machine learning models.
aws
A library for training and deploying machine learning models on Amazon SageMaker
superlinked
Open-source inference server and production cluster for all the models your agent needs.
uber
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
zebbern
80+ free AI services for chat, image, video, voice & APIs (may sometimes include access to lead gen ai models for free)
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