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A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.
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…
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
💻深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
A clean and readable Pytorch implementation of CycleGAN
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
人像卡通化探索项目 (photo-to-cartoon translation project)
PyTorch implementations of Generative Adversarial Networks.
Image-to-Image Translation in PyTorch
PyTorch implementation of AnimeGANv2
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
A collection of implementations of deep domain adaptation algorithms
deep learning for image processing including classification and object-detection etc.
哔哩漫游，解除B站客户端番剧区域限制的Xposed模块，并且提供其他小功能。An Xposed module that unblocks bangumi area limit of BILIBILI with miscellaneous features.
SpotTune: Transfer Learning through Adaptive Fine-tuning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)