Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Documentation for all Unstructured products and libraries

A course on aligning smol models.

Framework for enhancing LLMs for RAG tasks using fine-tuning.

Panama vector

JDK main-line development

Python and MATLAB code for linear algebra textbook.

Deep Learning library for Lava

Artificial Intelligence Infrastructure-as-Code Generator.

🦉Data Version Control | Git for Data & Models

A Software Framework for Neuromorphic Computing

Backend implementation for running MLFlow projects on Slurm

An Engine-Agnostic Deep Learning Framework in Java

Canonical source for classifiers on PyPI.

Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark

A conda-smithy repository for lava-dnf.

A conda-smithy repository for lava-optimization.

A conda-smithy repository for lava-dl.

A conda-smithy repository for lava.

Constraint Optimization with Lava

Dynamic Neural Fields with Lava

Documentation source for Lava

An Open Source Machine Learning Framework for Everyone

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Run Nengo models on Intel's Loihi chip

A Python library for creating and simulating large-scale brain models

Spiking neuron integration for PyTorch