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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

ae-wavenet

Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)

aopg

Anchor-free Oriented Proposal Generator for Object Detection

big-data-afk

crankshaft

Crankshaft: A turnkey GNU/Linux solution that transforms a Raspberry Pi to an Android Auto head unit.

dataproc-pubsub-spark-streaming

dba

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

deepvog

Pupil segmentation and gaze estimation using fully convolutional neural networks

detr

End-to-End Object Detection with Transformers

drive-any-robot

Official code and checkpoint release for "GNM: A General Navigation Model to Drive Any Robot".

eenets.pytorch

Pytorch implementation of EENets

eyeloop

EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.

hierarchies-of-planning-and-reinforcement-learning-for-robot-navigation

ib_fpsrl

Prototype to benchmark the fuzzy particle swarm reinforcement learning (Hein, Hentschel, Runkler, Udluft 2017) algorithm on the industrial benchmark

ladder-vae-pytorch

Ladder Variational Autoencoders (LVAE) in PyTorch

nlp-ir-afk

nvim

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

real-time-video-stabilization

real time video stabilization using Kalman Filter

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

ros2-hal-allied-vision-alvium1800u

roverrobotics_ros2

Rover Robotics ROS2 Packages

segformer-pytorch

tech-tools-afk

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

variational-ladder-autoencoder

Implementation of VLAE

vlae

Variational Ladder AutoEncoder implementation in tensorflow 2

vq-vae-speech

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

vq-vae-wavenet

TensorFlow implementation of VQ-VAE with WaveNet decoder, based on https://arxiv.org/abs/1711.00937 and https://arxiv.org/abs/1901.08810

wavenet_autoencoders

WaveNet auto-ancoders for ZeroSpeech challenge 2020