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Robocon2025排球挑战赛 MTI战队机械臂电控算法开源
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Updated Oct 15, 2025
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
A repository to hold several Vocaloid, Utauloid, and other virtual singers' GRUB themes
FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis
Financial Sentiment Analysis with BERT
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)
[CVPR2025] ProxyTransformation : Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding
Unsupervised Skeleton-based action recognition network
基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
This model processes multi-modal time-series data by first extracting features from each modality separately using CNNs, then analyzes cross-modal relationships through Transformer attention, and f…
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing.
[TMM 2026]. Boosting Instance Awareness via Cross-View Correlation with 4D Radar and Camera
[AAAI 2025] RCTrans: Radar-Camera Transformer via Radar Densiffer and Sequential Decoder for 3D Object Detection
[IROS 2025]. LGDD: Local-Global Synergistic Dual-Branch 3D Object Detection Using 4D Radar
A curated list of radar datasets, detection, tracking and fusion
[RA-L 2025] MAFF-Net: Enhancing 3D Object Detection with 4D Radar via Multi-Assist Feature Fusion.
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
You Only Plan Once: A Learning Based Quadrotor Planner