Deep learning for humans.
Collection of common python utils
Microsoft Azure Machine Learning Compute Management Client Library for Python
python wrapper for Lance columnar format
ONNX Runtime is a runtime accelerator for Machine Learning models
A collection of sklearn transformers to encode categorical variables as numeric
CUDA solver native runtime libraries
CUDA profiling tools runtime libs.
CUFFT native runtime libraries
CUSPARSE native runtime libraries
CURAND native runtime libraries
NVIDIA Tools Extension
Microsoft Azure Machine Learning Client Library for Python
NVIDIA Collective Communication Library (NCCL) Runtime
Orbax Checkpoint
TensorFlow is an open source machine learning framework for everyone.
TensorFlow IO
Probabilistic modeling and statistical inference in TensorFlow
Azure ML Data Preparation SDK is used to load, transform, and write data for machine learning workflows
TensorFlow Addons.
A set of easy-to-use utils that will come in handy in any Computer Vision project
Chex: Testing made fun, in JAX!
A gradient processing and optimization library in JAX.
Toolbox for imbalanced dataset in machine learning.
TensorFlow is an open source machine learning framework for everyone.
A unified framework for machine learning with time series
Machine Learning Library Extensions
A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.
A suite of visual analysis and diagnostic tools for machine learning.
Pytorch version of Stable Baselines, implementations of reinforcement learning algorithms.
Is a metapackage that is used internally by Azure Machine Learning
Git for data scientists - manage your code and data together
Base classes for sklearn-like parametric objects
Change point detection for signals in Python.
Contains core functionality for Azure Machine Learning pipelines, which are configurable machine learning workflows.
Scalable machine learning based time series forecasting
Removed: please install "tensorflow" instead.
fastai simplifies training fast and accurate neural nets using modern best practices
Probabilistic Generative Model Programming
Natural language processing augmentation library for deep neural networks
Integration tools for running scikit-learn on Spark
QUick and DIrty Domain Adaptation
Continuous control environments and MuJoCo Python bindings.
Base classes and utilities that are useful for deploying ML models.
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
Azure Machine Learning Feature Store SDK
Supercharging Machine Learning
flogging nice logging formatting and structured logging.
API and data structures for efficient AI research.