Evaluate
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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81–96 / 113
Results: 113
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
pykeio
Fast ML inference & training for ONNX models in Rust
shankarpandala
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
fairlearn
A Python package to assess and improve fairness of machine learning models.
A library for training and deploying machine learning models on Amazon SageMaker
bashtage
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)
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
meta-pytorch
Training PyTorch models with differential privacy
hyperspaceai
The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully pe…
dj-stripe
dj-stripe automatically syncs your Stripe Data to your local database as pre-implemented Django Models allowing you to use the Django ORM, in your code, to work with the…
Trusted-AI
Interpretability and explainability of data and machine learning models
OpenAdaptAI
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual L…
software-mansion
Declarative way to run AI models in React Native on device, powered by ExecuTorch.