Machine Learning

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.

Used for automatically finding the best machine learning model and its parameters.

Microsoft Azure Machine Learning Python client library

Debug machine learning classifiers and explain their predictions

Fiddle: A Python-first configuration library

Efficient few-shot learning with Sentence Transformers

Light Weight Toolkit for Bounding Boxes

Natural language processing augmentation library for deep neural networks

A set of tools, related to machine learning in production.

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

Scalable Nearest Neighbor search library

Machine Learning Orchestration

TensorFlow is an open source machine learning framework for everyone.

Contrib package of Stable Baselines3, experimental code.

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

TensorFlow Addons.

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

BigQuery DataFrames -- scalable analytics and machine learning with BigQuery

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

LiteRT is for mobile and embedded devices.

ScrapeGraph Python SDK for API

A library for distributed and parallel machine learning

Train PyTorch models with Differential Privacy

Generalist model for NER (Extract any entity types from texts)

TensorFlow is an open source machine learning framework for everyone.

Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.

Machine Learning Orchestration

A framework for machine learning on Apple silicon.

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.

Online machine learning in Python

Azure Machine Learning Component SDK

Machine learning and optimization for dynamic systems

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

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

Amazon SageMaker Debugger is an offering from AWS which helps you automate the debugging of machine learning training jobs.

TensorFlow IO

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

TensorFlow Lite is for mobile and embedded devices.

Azure Machine Learning Designer SDK

TensorFlow is an open source machine learning framework for everyone.

PyFlux: A time-series analysis library for Python

Machine Learning Wrappers SDK for Python

A library for managing, summarizing, and visualizing data.

An extension to pandas describe function.

A collection of chemoinformatics and machine-learning software written in C++ and Python

YDF (short for Yggdrasil Decision Forests) is a library for training, serving, evaluating and analyzing decision forest models such as Random Forest and Gradient Boosted Trees.

VerticaPy simplifies data exploration, data cleaning, and machine learning in Vertica.

Packaged version of the Yolov5 object detector

Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features

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.