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100 Days of ML Coding
Chinese Translation for Machine Learning Infographics
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
Action recognition using soft attention based deep recurrent neural networks
Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"
PyTorch Implementation for Global and Local Attention Network
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
A curated list of action recognition and related area resources
A complete list of papers on anomaly detection.
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) π π£π¨πππ―π
list the most popular methods about human action recognition
π π A reading list focused on Multimodal Emotion Recognition (MER) ππ π π¬
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
CNN image classificator based on Cars Dataset from Stanford and pretrained CNN models in Keras
This is our collected datasets for challenge condition facial expression recognition
ChatGLM-6B: An Open Bilingual Dialogue Language Model | εΌζΊεθ―ε―Ήθ―θ―θ¨ζ¨‘ε
PyTorch implementation of CNNs for CIFAR benchmark
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Cross-Modal Self-Attention Network for Referring Image Segmentation cvpr19
Implementation based on the paper Li et al., βA Convolutional Neural Network Cascade for Face Detection, β 2015 CVPR
A Pytorch implementation of "A Compact Deep Learning Model for Robust Facial Expression Recognition (CVPR 2018)".
Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)
Implementation of CVPR'19 paper (oral) - ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
An implementation by Pytorch
Covariance Pooling for Facial Expression Recognition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.