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rongfei_chen's Projects

pybn icon pybn

Bayesian Networks in Python

pycit icon pycit

(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.

pytorch-grad-cam icon pytorch-grad-cam

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 icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-lightning-template icon pytorch-lightning-template

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.

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

real-time-facial-expression-recognition-and-fast-face-detection icon real-time-facial-expression-recognition-and-fast-face-detection

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.

softpool icon softpool

[ICCV 2021] Code for approximated exponential maximum pooling

sparse_attention icon sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

swafn icon swafn

Code for Paper "SWAFN: Sentimental Words Aware Fusion Network for Multimodal Sentiment Analysis", COLING2020

tf_seq icon tf_seq

This project ia a instance of Natural Language Processing with utilizing the Transformer model.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transparent_latent_gan icon transparent_latent_gan

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

tupe icon tupe

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

vcan icon vcan

The Video-based Cross-modal AuxIliary Network (VCAN) is proposed for Multimodal Sentiment Analysis

vdd-daod icon vdd-daod

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

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