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🔥 🔥 热门推荐 🔥 🔥将黑马点评进行完全地重构升级，围绕优惠券秒杀与热点查询，补齐高并发稳定性、动态令牌、限流、消息可靠性与数据一致性闭环，并添加订阅通知、候补排队等新亮点功能，解决烂大街和亮点不足问题！并打造成真正企业级别实战项目，全面工程化落地。
mallchat的后端项目，是一个既能购物又能聊天的电商系统。以互联网企业级开发规范的要求来实现它，电商该有的购物车，订单，支付，推荐，搜索，拉新，促活，推送，物流，客服，它都必须有。持续更新ing。。（点个star，不迷路）
Minimal Mamba-2 implementation in PyTorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The final coursework for AI in Mental Health @ PKU.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
The code of CIKM'25 paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting"
Ofiicial Implementation for Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
Fine-tuning the Wav2vec2, Whisper, ResNet293 and AST models for several audio classification scenarios, such as speaker identification, language recognition, emotion recognition, VAD, speech/nonspe…
In this project, several approaches for training/finetuning an audio gender recognition is provided. The code can simply be used for any other audio classification task by simply changing the numbe…
Implementation of the paper: StyleBERT: Text-Audio Sentiment Analysis with Bi-directional Style Enhancement
ABAW6 (CVPR-W) We achieved second place in the valence arousal challenge of ABAW6
Self-Supervised Speech Pre-training and Representation Learning Toolkit
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Crack LeetCode, not only how, but also why.
Robust Speech Recognition via Large-Scale Weak Supervision
Volumetric CNN for Emotion Recognition for iPhone face dataset
[WACV 2023] Audio-Visual Efficient Conformer (AVEC) for Robust Speech Recognition
DEP-Former: Multimodal Depression Recognition Based on Facial Expressions and Audio Features via Emotional Changes
[ICASSP 2025] Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection
SFTNet is a microexpression-based method for depression detection.
LI-FPN is an excellent model for depression recognition based on facial expression.
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
[IEEE TMM] T-Mamba: A unified framework with Long-Range Dependency in dual-domain for 2D & 3D Tooth Segmentation