rongfei-chen Goto Github PK
Name: rongfei_chen
Type: User
Bio: PhD student at Shanghai University Apex Technology
Name: rongfei_chen
Type: User
Bio: PhD student at Shanghai University Apex Technology
Bayesian Networks in Python
(Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information estimators. Supports continuous, discrete, and mixed data, as well as multiprocessing.
python heat map library
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Graph Neural Network Library for PyTorch
Real-time facial expression recognition and fast face detection based on Keras CNN. Training and testing on both Fer2013 and CK+ facial expression data sets have achieved good results. The speed is 78 fps on NVIDIA 1080Ti. If only face detection is performed, the speed can reach 158 fps. Finally, an emotional monitoring system was developed based on it.
scikit-learn: machine learning in Python
PyTorch implementation of SENet
Resources for learning Multimodal Data Fusion with Sensory Information
Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).
[ICCV 2021] Code for approximated exponential maximum pooling
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Code for Paper "SWAFN: Sentimental Words Aware Fusion Network for Multimodal Sentiment Analysis", COLING2020
Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.
This project ia a instance of Natural Language Processing with utilizing the Transformer model.
A pytorch_lightning reimplementation of the Transducer module from ESPnet.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
A playbook for systematically maximizing the performance of deep learning models.
一本系统地教你将深度学习模型的性能最大化的战术手册。
Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.
The Video-based Cross-modal AuxIliary Network (VCAN) is proposed for Multimodal Sentiment Analysis
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"
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.