RedHeadM's repositories
AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
auto-smart-commit
Automatically format Git commits into Jira smart commits
axial-deeplab
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
frAIburg
Team frAIburg's code for the Audi Autonomous Driving Cup 2017
CCT
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
DACS
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
dcgan_vae_pytorch
dcgan combined with vae in pytorch!
EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
pytorch-a2c-ppo-acktr
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
Seg-Uncertainty
IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
SuperGlue-pytorch
SuperGlue-pytorch training
UNet-based-Denoising-Autoencoder-In-PyTorch
Cleaning printed text using Denoising Autoencoder based on UNet architecture in PyTorch