A PyTorch implementation of DenseNet.
APACHE-2.0 License
Statistics for this project are still being loaded, please check back later.
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
[CVPR2020] Adversarial Latent Autoencoders
Pytorch framework for doing deep learning on point clouds.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pret...
[BETA] Easy-to-use pytorch model trainer, dataloader creators, and utilities + my own implementat...
Classification with PyTorch.
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xceptio...
A faster pytorch implementation of faster r-cnn
A simplified implemention of Faster R-CNN that replicate performance from origin paper
A standard framework for modelling Deep Learning Models for tabular data
A memory-efficient implementation of DenseNets
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code fro...
The author's officially unofficial PyTorch BigGAN implementation.