Topic: gan Goto Github
Some thing interesting about gan
Some thing interesting about gan
gan,real time face swap and one-click video deepfake with only a single image
User: hacksider
Home Page: https://deeplivecam.net/
gan,🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Organization: labmlai
Home Page: https://nn.labml.ai
gan,12 Weeks, 24 Lessons, AI for All!
Organization: microsoft
gan,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Organization: tencentarc
gan,Image-to-Image Translation in PyTorch
User: junyanz
gan,深度学习入门教程, 优秀文章, Deep Learning Tutorial
User: mikoto10032
gan,《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Organization: datawhalechina
gan,A list of all named GANs!
User: hindupuravinash
gan,Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
User: junyanz
gan,PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
User: chenyuntc
gan,A MNIST-like fashion product database. Benchmark :point_down:
Organization: zalandoresearch
Home Page: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/
gan,Image-to-image translation with conditional adversarial nets
User: phillipi
Home Page: https://phillipi.github.io/pix2pix/
gan,🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Organization: advimman
Home Page: https://advimman.github.io/lama-project/
gan,so-vits-svc fork with realtime support, improved interface and more features.
Organization: voicepaw
gan,Keras implementations of Generative Adversarial Networks.
User: eriklindernoren
gan,Build your neural network easy and fast, 莫烦Python中文教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/torch/
gan,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.
Organization: paddlepaddle
gan,Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
User: wiseodd
Home Page: http://wiseodd.github.io
gan,Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Organization: tensorlayer
Home Page: http://tensorlayerx.com
gan,A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
User: carpedm20
Home Page: http://carpedm20.github.io/faces/
gan,Synthesizing and manipulating 2048x1024 images with conditional GANs
Organization: nvidia
Home Page: https://tcwang0509.github.io/pix2pixHD/
gan,Awesome paper list with code about generative adversarial nets
User: zhangqianhui
gan,StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
User: yl4579
gan,Gluon CV Toolkit
Organization: dmlc
Home Page: http://gluon-cv.mxnet.io
gan,T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
User: jeffheaton
Home Page: https://sites.wustl.edu/jeffheaton/t81-558/
gan,An arbitrary face-swapping framework on images and videos with one single trained model!
User: neuralchen
gan,PyTorch implementation of AnimeGANv2
User: bryandlee
gan,Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/tensorflow/
gan,Your Friendly Open-Source Gen-AI Platform
Organization: pollinations
Home Page: https://pollinations.ai
gan,人像卡通化探索项目 (photo-to-cartoon translation project)
Organization: minivision-ai
gan,Interactive Image Generation via Generative Adversarial Networks
User: junyanz
gan,Collection of generative models in Tensorflow
User: hwalsuklee
gan,Compute FID scores with PyTorch.
User: mseitzer
gan,🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
User: christianversloot
gan,深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Organization: paddlepaddle
gan,This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
User: nelsonzhao
Home Page: https://zhuanlan.zhihu.com/zhaoyeyu
gan,[CVPR2020] Adversarial Latent Autoencoders
User: podgorskiy
gan,Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Organization: tensorlayer
Home Page: https://github.com/tensorlayer/tensorlayerx
gan,Synthetic data generation for tabular data
Organization: sdv-dev
Home Page: https://docs.sdv.dev/sdv
gan,A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
User: shaoanlu
gan,Create Anime Characters with MakeGirlsMoe
Organization: makegirlsmoe
Home Page: http://make.girls.moe
gan,Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
User: tamarott
Home Page: https://tamarott.github.io/SinGAN.htm
gan,Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
User: yfeng95
gan,머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
User: teddylee777
gan,A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
User: saharmor
gan,Multimodal Unsupervised Image-to-Image Translation
Organization: nvlabs
gan,Image Deblurring using Generative Adversarial Networks
User: kupynorest
gan,Summaries of machine learning papers
User: aleju
gan,SDG is a specialized framework designed to generate high-quality structured tabular data.
Organization: hitsz-ids
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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