GuHongyang
Follow
Stars
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。
A curated list of resources for using LLMs to develop more competitive grant applications.
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
Exploring Mamba as a drop in replacement for ViTs
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Official implementation of paper titled "GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model"
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Multi-modal Object Re-identification
This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
Official PyTorch Implementation of "Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification" (CVPR'23)
[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch
papers collection and understanding for video person re-identification
Causal depthwise conv1d in CUDA, with a PyTorch interface
Visualizing the network of math theories.
Vision Mamba 2: More Efficient Visual Representation Learning with State Space Duality
[NeurIPS2024 Spotlight] The official implementation of GrootVL: Tree Topology is All You Need in State Space Model
cross-platform (Qt), open-source (GPLv3) video editor
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Open standard for machine learning interoperability
Visualizer for neural network, deep learning and machine learning models