Stars
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A must-read paper for speech separation based on neural networks
A PyTorch implementation of " AN EMPIRICAL STUDY OF CONV-TASNET "
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
Notebooks for "Python for Signal Processing" book
CHiME-5 Baseline Array Synchronisation
Code for synchronising all CHiME-5 audio signals for use in CHiME-6
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
OpenMMLab's next-generation platform for general 3D object detection.
The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).
code and trained models for "Attentional Feature Fusion"
Reference models and tools for Cloud TPUs.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
A high-level toolbox for using complex valued neural networks in PyTorch
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Latex code for making neural networks diagrams
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.