Machine Learning

Efficient few-shot learning with Sentence Transformers

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

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.

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.

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.

Machine Learning Orchestration

IBM Watson Machine Learning API Client

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

A library for exploring and validating machine learning data.

LiteRT is for mobile and embedded devices.

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

TensorFlow is an open source machine learning framework for everyone.

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.

NeMo - a toolkit for Conversational AI

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

Light Weight Toolkit for Bounding Boxes

Machine Learning Orchestration

Hopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving

PyGlove: A library for manipulating Python objects.

TensorFlow is an open source machine learning framework for everyone.

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

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.

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

A high-quality general neural audio codec.

Debug machine learning classifiers and explain their predictions

Type stubs for Python machine learning libraries

A framework for machine learning on Apple silicon.

Train PyTorch models with Differential Privacy

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

Microsoft Azure Machine Learning Python client library

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.

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

A library for managing, summarizing, and visualizing data.

An extension to pandas describe function.

Machine Learning Wrappers SDK for Python

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

Microsoft Azure Machine Learning Services Management Client Library for Python

Useful utilities for huggingface

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

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

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

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

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

AI for Time Series

daal4py is a Convenient Python API to the Intel® oneAPI Data Analytics Library (oneDAL)

A library for distributed and parallel machine learning

Machine learning and optimization for dynamic systems

A library that implements optionally monotonic lattice based models.

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.