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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Autograd and XLA for high-performance machine learning research.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
github.com
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
github.com
Kubeflow Katib is a Kubernetes-native project for automated machine learning (AutoML). It supports hyperparameter tuning, early stopping and neural architecture search, and is agnostic to machine learning frameworks, natively supporting frameworks such as TensorFlow, PyTorch and XGBoost. Training jobs can use any Kubernetes Custom Resources, with out-of-box support for Kubeflow Training Operator, Argo Workflows and Tekton Pipelines. A Python SDK simplifies creating tuning jobs.
github.com
Keepsake is a version control system for machine learning projects. It allows tracking changes to models, data, and experiments. It is developed by Replicate and hosted on GitHub as an open-source repository. The project is not actively maintained.
github.com
Keras-contrib is the official extension repository for the Keras deep learning library, with additional layers, activations, loss functions and optimizers not yet in Keras. It is deprecated and archived; the project migrated to TensorFlow Addons. The repository is read-only.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Keras.js runs Keras models in the browser with GPU support using WebGL 2, and models can also run in Node.js in CPU mode. Models can be trained in any backend, including TensorFlow and CNTK. The project is no longer active and no longer updated, though the demos still work.
github.com
Kernel density estimators for Julia.
github.com
Koç University Deep Learning Framework.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Machine Learning Toolkit for Kubernetes.
github.com
Machine Learning Pipelines for Kubeflow.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
github.com
Lambdo is a workflow engine that unifies feature engineering and machine learning operations. In its workflows, nodes can be treated as features or predictions, and both can be trained. It uses column-oriented data processing and provides functions for time-series analysis and forecasting.
github.com
LDA is a JavaScript library for node.js that performs Latent Dirichlet allocation topic modeling, extracting topics and related keywords from a collection of documents. It returns an array of topics, each with an array of terms and probabilities, and uses English stop-words by default.
github.com
Leanpass is a NumPy-based autodiff library for small neural network experiments, designed to be readable and simple to inspect for learning how automatic differentiation works. It provides tensors with reverse-mode autodiff, activation functions, linear layers, multilayer perceptrons, loss utilities, and SGD and Adam optimizers. Its only dependency is NumPy.