Machine Learning

This package is intended to provide a uniform schema for common machine learning applications, as well as a set of decorators that can be used to aid in web based ML prediction applications.

simple library to manage a dataset of shards to train 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 CLI.

The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

A distributed system to learn embeddings of large graphs

The Parameterization Framework

IBM Watson Machine Learning API Client

Multi-class confusion matrix library in Python

A Python interface for Reinforcement Learning environments.

NeMo - a toolkit for Conversational AI

A high-quality general neural audio codec.

Machine Learning Orchestration

PyGlove: A library for manipulating Python objects.

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

A toolkit for making real world machine learning and data analysis applications

Scalable Nearest Neighbor search library

Natural language processing augmentation library for deep neural networks

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

A library for distributed and parallel machine learning

Efficient few-shot learning with Sentence Transformers

Python driver for H2O Wave Realtime Apps

Decentralized deep learning in PyTorch

ScrapeGraph Python SDK for API

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.

A tool for fast PyTorch module, model, and tensor serialization + deserialization.

A library for exploring and validating machine learning data.

TensorFlow Estimator.

Debug machine learning classifiers and explain their predictions

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.

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

TensorFlow is an open source machine learning framework for everyone.

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.

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.

A seamless bridge from model development to model delivery

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

Light Weight Toolkit for Bounding Boxes

Machine Learning Wrappers SDK for Python

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

LiteRT is for mobile and embedded devices.

Machine Learning Orchestration

Spello: Fast and Smart Spell Correction

Contrib package of Stable Baselines3, experimental code.

Train PyTorch models with Differential Privacy

The realtime communication library for Python

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

A Python Toolbox for Machine Learning on Partially-Observed Time Series

A library for managing, summarizing, and visualizing data.

An extension to pandas describe function.