A framework for real-life data science
Statistical machine intelligence and learning engine
The data structure for multimodal data
Fit interpretable models. Explain blackbox machine learning
Evaluate and monitor ML models from validation to production
An open-source, low-code machine learning library in Python
Detecting silent model failure. NannyML estimates performance
Deep learning optimization library making distributed training easy
Helps scientists define testable, modular, self-documenting dataflow
A Python library that helps data scientists to infer causation
Explainability and Interpretability to Develop Reliable ML models
RAPIDS Machine Learning Library
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Multi-class confusion matrix library in Python
Curated list of awesome open source libraries
OpenMLDB is an open-source machine learning database
Turn your existing data infrastructure into a feature store
Build MLOps Pipelines in Minutes
Deep and Machine Learning for Microscopy
Uncover insights, surface problems, monitor, and fine tune your LLM
NVIDIA Federated Learning Application Runtime Environment
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Probabilistic reasoning and statistical analysis in TensorFlow
Swirl queries any number of data sources with APIs