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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)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

cct

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

centernet

Object detection, 3D detection, and pose estimation using center point detection:

classmix

dacs

Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"

dactyl-keyboard

Parameterized ergonomic keyboard

dcgan_vae_pytorch

dcgan combined with vae in pytorch!

dl_lab_2017

deep_learning_course uni freiburg

dotfiles

dr-gan

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

efficientnet-pytorch

A PyTorch implementation of EfficientNet

fraiburg

Team frAIburg's code for the Audi Autonomous Driving Cup 2017

gps

Guided Policy Search

gps-1

Guided policy search in Python and ROS Indigo.

joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

magnetloss-pytorch

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

pre-commit

A framework for managing and maintaining multi-language pre-commit hooks.

pyhparams

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