Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
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PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
TencentCloudADP
A simple yet powerful agent framework that delivers with open-source models
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
shankarpandala
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
meta-pytorch
Training PyTorch models with differential privacy
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…
JoasASantos
NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations. Leveraging the ca…