Yu Zhang's repositories
android-demo-app
PyTorch android examples of usage in applications
androidsvg
SVG rendering library for Android
arcore-android-sdk
ARCore SDK for Android Studio
Awesome-Embeded-AI
收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等，帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。
awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
awesome-visual-localization
Literature review of visual localization.
Channel_Importance_FSL
[ICML 2022] Channel Importance Matters in Few-shot Image Classification
FlexiViT
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.
Freesvg
A fast, lightweight Java library for creating Scalable Vector Graphics (SVG) output.
glide
An image loading and caching library for Android focused on smooth scrolling
gpt_academic
为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。
IPS_6-DOF-Inertial-Odometry
IMU-Based 6-DOF Odometry
IPS_LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
IPS_ronin
RoNIN: Robust Neural Inertial Navigation in the Wild
learned_inertial_model_odometry
This repo contains the code of the paper "Learned Inertial Odometry for Autonomous Drone Racing", RA-L 2023.
MagTense
MagTense - a micromagnetism and magnetostatic framework
models
A collection of pre-trained, state-of-the-art models in the ONNX format
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Optimized-Kalman-Filter
Get an optimized Kalman Filter from data of system-states and observations.
pdr_tutorial
A PDR Algorithm Tutorial for Wrist-Worn IMU
pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
ROS-Mobile-Android
Visualization and controlling application for Android
Sign_LR_WLASL
WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
understanding-cdfsl
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty, NeurIPS 2022