Machine Learning

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

TapTap brings double-tap-on-the-back gestures to Android, letting users trigger actions by tapping the rear of the device.

Catniff provides JavaScript developers with a Torch-like deep learning framework.

The Cybertron Go package provides an interface for NLP technologies and pretrained Transformer models.

Edward provides a library for probabilistic modeling, inference, and model criticism.

DataTalks.Club brings data science, machine learning, and AI practitioners together, with courses, podcasts, webinars, and workshops.

Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.

Tutor AI answers questions, explains concepts, and helps learners follow custom learning pathways at their own pace.

The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.

LLMFlows provides components for building language model applications with explicit workflows.

Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.

Google Arts & Culture features Viola the Bird, a machine-learning experiment that lets visitors play a cello-inspired instrument.

QKeras provides quantization tools for deep learning with TensorFlow Keras.

NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.

Adaptive Reliability Layer decides when to retrain a model based on drift signals and delayed labels.

Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.

Segment Chinese text in PHP applications with jieba-php, a library for Chinese word tokenization.

Dataset List catalogs machine-learning datasets from across the web and accepts additions through a submission form.

The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.

This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.

This essay by Hito Steyerl considers machine-generated images and statistical representations of photographic datasets.

Kaveen Kumarasinghe shares a software engineering profile, open-source projects, and AI experiments.

AutoGluon provides tools for automated machine learning and model development.

The linfa project provides a machine learning framework written in Rust.