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📚200+ Tensor/CUDA Cores Kernels, ⚡️flash-attn-mma, ⚡️hgemm with WMMA, MMA and CuTe (98%~100% TFLOPS of cuBLAS/FA2 🎉🎉).
📖A curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, Flash-Attention, Paged-Attention, Parallelism, etc. 🎉🎉
Survey Paper List - Efficient LLM and Foundation Models
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
[NeurIPS 2024] The official implement of research paper "FreeLong : Training-Free Long Video Generation with SpectralBlend Temporal Attention"
The codes of our paper "EasyInv: Toward Fast and Better DDIM Inversion"
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) …
MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation
ViViD: Video Virtual Try-on using Diffusion Models
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
[AAAI 2025] MV-VTON: Multi-View Virtual Try-On with Diffusion Models
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
A collection of resources on controllable generation with text-to-image diffusion models.
[WACV'25] StreetTryOn: A Benchmark for In-the-Wild Virtual Try-On and Cross-Domain Virtual Try-On
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Dress Code: High-Resolution Multi-Category Virtual Try-On. ECCV 2022
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
State-of-the-art 2D and 3D Face Analysis Project
利用HuggingFace的官方下载工具从镜像网站进行高速下载。
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&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chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
Generative Models by Stability AI
[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
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