Machine Learning

Train PyTorch models with Differential Privacy

TensorFlow Lite is for mobile and embedded devices.

A Python package to assess and improve fairness of machine learning models.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

Kedro-Viz helps visualise Kedro data and analytics pipelines

Machine Learning Orchestration

Pyro PPL on NumPy

Set of libraries for ML training loops in JAX.

Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Machine Learning Wrappers SDK for Python

A Gradio component for comparing two images. This component can be used in several ways: - as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo), - as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), - as **static output component** allowing users to compare two images generated by an inference function.

Deep learning for humans.

TensorFlow-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow

NVJPEG native runtime libraries

Base classes and utilities that are useful for deploying ML models.

Scalable Nearest Neighbor search library

Light Weight Toolkit for Bounding Boxes

A library for exploring and validating machine learning data.

A library for distributed and parallel machine learning

Microsoft Azure Machine Learning Python client library

PyGAD: A Python Library for Building the Genetic Algorithm and Training Machine Learning Algoithms (Keras & PyTorch).

TensorFlow is an open source machine learning framework for everyone.

Packaged version of the Yolov5 object detector

This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.

A Python Toolbox for Machine Learning Model Combination

A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization

Efficient few-shot learning with Sentence Transformers

LiteRT is for mobile and embedded devices.

A Scalable Framework for Unsupervised Outlier Detection (Anomaly Detection)

A curated collection of datasets for data analysis & machine learning, downloadable with a single Python command

Configurable, reproducible, and scalable workflows in Python, via Hydra

Fit interpretable models. Explain blackbox machine learning.

A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow.

An open-source NLP research library, built on PyTorch.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.

Machine learning and optimization for dynamic systems

TensorFlow is an open source machine learning framework for everyone.

Provide functionalities to invoke Azure Machine Learning designer built-in modules in deployment service.

Azure Machine Learning Component SDK

Online machine learning in Python

Package to easily import datasets from the UC Irvine Machine Learning Repository into scripts and notebooks.

Probabilistic modeling and statistical inference in TensorFlow

BigQuery DataFrames -- scalable analytics and machine learning with BigQuery

Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon.

A library for managing, summarizing, and visualizing data.

Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.

TorchX SDK and Components

The Parameterization Framework

A library for maintaining metadata for artifacts.