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TradingAgents: Multi-Agents LLM Financial Trading Framework
The official implementation of [CVPR 2025] "5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks".
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
Awesome curated collection of images and prompts generated by GPT-4o and gpt-image-1. Explore AI generated visuals created with ChatGPT and Sora, showcasing OpenAI’s advanced image generation capab…
[CVPR 2025] MatAnyone: Stable Video Matting with Consistent Memory Propagation
Official PyTorch implementation of One-Minute Video Generation with Test-Time Training
Official PyTorch 8000 Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Official Repository for The Technical Report, Label Unbalance in High-frequency Trading
[IROS 2025] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch
基于三种方法的短文本分类研究：BERT 模型、知识驱动的注意力机制与层次化多尺度密连接循环神经网络
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
[CVPR 2025] DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, Cont…
Unsupervised text tokenizer for Neural Network-based text generation.
2025年全网最全即插即用模块，免费分享！CVPR2025，AAAI2025，ICLR2025，TNNLS2025，arXiv2025......包含人工智能全领域（机器学习、深度学习等），适用于图像分类、目标检测、实例分割、语义分割、全景分割、姿态识别、医学图像分割、视频目标分割、图像抠图、图像编辑、单目标跟踪、多目标跟踪、行人重识别、RGBT、图像去噪、去雨、去雾、去阴影、去模糊、超分辨…
[CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Highlight).
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437