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《动手学深度学习》习题解答,在线阅读地址如下:
🧑🏫 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, ... 🧠
Data analysis and processing done on large dataset to compare two heart rate detection methods
The official implementation code of paper: "AU R-CNN:Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection".
Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)
[ICME-2023] Official Pytorch implementation of AU-aware graph convolutional network for Macro- and Micro-expression spotting
ChatGPT资料汇总学习,持续更新......
Learning Convolutional Neural Networks with Interactive Visualization.
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation
real time face swap and one-click video deepfake with only a single image
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
this is all of my code and data with my deep learning note
动手学CV-Pytorch版
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
Simple filter Equalizer lowpass, highpass, bandpass and bandstop
Efficient face emotion recognition in photos and videos
利用Pytorch设计完成的基于卷积神经网络实现的面部表情识别项目 —— A facial expression recognition project based on convolution neural network designed by Pytorch 【Plus版本】:https://github.com/hexiang10/face-recognition-plus
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Classify ECG signals into predefined categories based on heartbeat abnormality by transforming time series to images
HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.