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Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Implementation of popular deep learning networks with TensorRT network definition API
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
KuwoMusicApi 是一个通过传入参数可以直接获取某首歌曲的 URL 的 API，适用于网易云解灰等项目。
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR2023)"
[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution (accepted by TGRS)
Transformer-based Multi-Stage Enhancement for Remote Sensing Image Super-Resolution (accepted by TGRS)
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993
Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021 (Oral)