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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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
PyTorch implementation of JAA-Net including both ECCV version and IJCV version
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
One second to read GitHub code with VS Code.
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Awesome Resources for Advanced Computer Vision Topics
[AAAI 2020] Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)
Implementation of Deep Region and Multi-Label Learning for Facial Action Unit Detection.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
A curated list of resources for Learning with Noisy Labels
Undergraduate thesis (Bachelor in Computer Science) to automatically optimize CNN's hyperparameters to recognize facial expressions
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
A collection of pre-trained StyleGAN 2 models to download
Simple Encoder, Generator and Face Modificator with StyleGAN2
Puzer / stylegan-encoder
Forked from NVlabs/styleganStyleGAN Encoder - converts real images to latent space
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Implementation of Super Resolution CNN in Keras.
Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)