Popular GitHub Repositories for Dynamic Ip

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

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

Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

Speedy Wavenet generation using dynamic programming :zap:

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

Simulation of spiking neural networks (SNNs) using PyTorch.

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

Tensors and dynamic neural networks in pure Rust.

[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)

Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine