Machine Learning interpret package is used to interpret ML models
Package to easily import datasets from the UC Irvine Machine Learning Repository into scripts and notebooks.
Continuous control environments and MuJoCo Python bindings.
Contrib package of Stable Baselines3, experimental code.
A subpackage of Ray which provides the Ray C++ API.
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.
ONNX Runtime is a runtime accelerator for Machine Learning models
Used for automatically finding the best machine learning model and its parameters.
a data typing library for machine learning
NeMo - a toolkit for Conversational AI
Multi-class confusion matrix library in Python
TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.
Python utilities for compliant Azure machine learning
Generate Diverse Counterfactual Explanations for any machine learning model.
Online machine learning in Python
a framework for automated feature engineering
Causal models in Python
SDK API to explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
Experiment logger and visualizer
An open-source NLP research library, built on PyTorch.
Azure Machine Learning Parallel Run Step - Deprecated
Online machine learning in Python
A seamless bridge from model development to model delivery
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
Forecasting time series with scikit-learn regressors. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM, XGBoost, Ranger...).
The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.
A Python package for creating feature transformations in applications of machine learning to materials science.
TF-Agents: A Reinforcement Learning Library for TensorFlow
Image Polygonal Annotation with Python
Easily turn a set of image urls to an image dataset
A tool that adds the NVIDIA PIP Index to the environment.
MatGL is a framework for graph deep learning for materials science.
pyclustring is a python data mining library
A faster cpu machine learning library
MLStacks MLStacks.
TF.Text is a TensorFlow library of text related ops, modules, and subgraphs.
Yoga Data Layer, a flexible data layer for 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.
TorchX SDK and Components
Microsoft Azure Machine Learning Python SDK v2 for collecting model data during operationalization
A framework for machine learning on Apple silicon.
TensorFlow is an open source machine learning framework for everyone.
PyGAD: A Python Library for Building the Genetic Algorithm and Training Machine Learning Algoithms (Keras & PyTorch).
Machine Learning Library Extensions
Deploy machine learning models to Baseten
Megatron Core - a library for efficient and scalable training of transformer based models