Popular GitHub Repositories for Dynamic Sparsity

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Sparsity-aware deep learning inference runtime for CPUs

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

The machine learning toolkit for time series analysis in Python

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

NMA Computational Neuroscience course

PyTorch native quantization and sparsity for training and inference

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

Speedy Wavenet generation using dynamic programming :zap:

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

Simulation of spiking neural networks (SNNs) using PyTorch.

PaddleSlim is an open-source library for deep model compression and architecture search.

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

An Industrial Graph Neural Network Framework