Pinned Repositories
Adversarial-Skill-Networks
[ICRA 2020] Implementation of Adversarial Skill Networks for learning reusable and composable skills from unlabeled videos.
A-U-Net-Based-Discriminator-for-Generative-Adversarial-Networks
aadc2016
Code basis used by Team KACADU for the Audi Autonomous Driving Cup 2016
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)
dl_lab_2017
deep_learning_course uni freiburg
dotfiles
frAIburg
Team frAIburg's code for the Audi Autonomous Driving Cup 2017
RedHeadM's Repositories
RedHeadM/dotfiles
RedHeadM/A-U-Net-Based-Discriminator-for-Generative-Adversarial-Networks
RedHeadM/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
RedHeadM/auto-smart-commit
Automatically format Git commits into Jira smart commits
RedHeadM/axial-deeplab
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
RedHeadM/frAIburg
Team frAIburg's code for the Audi Autonomous Driving Cup 2017
RedHeadM/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
RedHeadM/CCT
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
RedHeadM/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
RedHeadM/ClassMix
RedHeadM/DACS
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
RedHeadM/dcgan_vae_pytorch
dcgan combined with vae in pytorch!
RedHeadM/EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
RedHeadM/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
RedHeadM/gps
Guided Policy Search
RedHeadM/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
RedHeadM/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
RedHeadM/pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
RedHeadM/pyhparams
RedHeadM/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).
RedHeadM/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
RedHeadM/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
RedHeadM/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
RedHeadM/pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
RedHeadM/rlkit
Collection of reinforcement learning algorithms
RedHeadM/Seg-Uncertainty
IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
RedHeadM/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
RedHeadM/StackGAN-v2
RedHeadM/SuperGlue-pytorch
SuperGlue-pytorch training
RedHeadM/UNet-based-Denoising-Autoencoder-In-PyTorch
Cleaning printed text using Denoising Autoencoder based on UNet architecture in PyTorch