#machine-learning

Visual analysis and diagnostic tools to facilitate machine learning model selection.

A reinforcement learning package for Julia

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Merlin Models is a collection of deep learning recommender system model reference implementations

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

EvalML is an AutoML library written in python.

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

Go SDK for Google Generative AI

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

NLTK Source

Probabilistic Numerics in Python.

A library for transfer learning by reusing parts of TensorFlow models.

🦉 Data Versioning and ML Experiments

oneAPI Data Analytics Library (oneDAL)

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

:robot: ML algorithms implemented from scratch and provided block by block

Image augmentation for machine learning experiments.

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Topic Modelling for Humans

Model Server for Kepler

Machine learning with Mill.jl for JSON documents

linear and non-linear solvers, time integration, roms

An intuitive library to add plotting functionality to scikit-learn objects.

header only, dependency-free deep learning framework in C++14

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.