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DataDome
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Bayesian Modeling and Probabilistic Programming in Python
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A unified framework for machine learning with time series
Interactive Data Visualization in the browser, from Python
The interactive graphing library for Python ✨
The fundamental package for scientific computing with Python.
Library for fast text representation and classification.
Apache Beam is a unified programming model for Batch and Streaming data processing.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
A toolkit for developing and comparing reinforcement learning algorithms.
Deep universal probabilistic programming with Python and PyTorch
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An open-source NLP research library, built on PyTorch.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A game theoretic approach to explain the output of any machine learning model.
Open standard for machine learning interoperability
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.