Maschinelles Lernen · GitHub

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

A PyTorch Computer Vision (CV) module library for building n-D networks flexibly ~

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

• Unified Benchmark we provide a unified training script for various segmentation methods.
• Simple and Effective Thanks to pytorch lightning and timm , the code is easy for further development.

🌸这是一个有趣的前端趣味知识公园~该项目是我平时捣鼓前端相关技术的一些案例集合。【涵盖：（Tensorflow.js-姿态识别，人脸识别），(WebRTC-音视频通话，录屏，虚拟背景，信令服务器)，（Threejs-太阳系，3D 动画），（图片处理-千图成像，图片压缩，画板），（隐写术-文本隐写加密，图片隐写加密）等等...】

Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies" and "Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment"

[ECCV 2026] Wide-angle pose refinement for unseen objects from RGB-D, camera intrinsics, a metric mesh, and a mask or box.

An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.

A PyTorch implementation of the architecture of Mask RCNN

• The part of the network responsible for bounding box detection derives it's inspiration from the faster RCNN model having a RPN working in tandem with a ConvNet
• The pooling layers present in the ConvNet round down or round up to the nearest integer when the stride is not a divisor of the receptive field, which tends to either lose or assume "information" from the image respectively at the non integral points.

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

Image Segmentation and Object Detection in Pytorch

Fast, Modern, and Low Precision PyTorch Optimizers

RDNA-native LLM inference engine in Rust.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Helper functions to create COCO datasets