Stars
使用pytorch,构建VGG19网络结构,对CIFAR10数据集进行分类
PPoPP24 AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.
An Efficient Pipelined Data Parallel Approach for Training Large Model
一个计算机视觉、机器学习与深度学习相关的项目,看课程的笔记还有自己做的程序
PaperClub 资源站:不间断分享中小型项目, 主要分享各类视觉算法、文本算法和前后端等实用性工程项目,主要开发语言为python,vue等;
pytorch style transfer, deploy in flask and vue.
dingwentao / TDC
Forked from hpdps-group/PPOPP23-TDCTDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition
This project implements an efficient scheduling system for Large Language Model (LLM) inference, as described in the paper "Efficient LLM Scheduling by Learning to Rank"
【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。
基于PaddleOCR重构,并且脱离PaddlePaddle深度学习训练框架的轻量级OCR,推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.
The Script Downloads in bulk both model(Lora,Lycoris,Embeding etc..) and related images, from a given CivitAI Username
Official implementation of the paper “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning”(SIGGRAPH 2022)
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Implementation of Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer.
[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Official Pytorch implementation of "Visual Style Prompting with Swapping Self-Attention"