atanas1054's repositories
SGNet.pytorch
Pytorch Implementation for Stepwise Goal-Driven Networks for Trajectory Prediction (RA-L/ICRA2022)
ACP-3Detection
Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator
Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
CARLA-KITTI
CARLA-KITTI generates synthetic data from the CARLA simulator for KITTI 2D/3D Object Detection task.
clever-camera
A simple monitoring camera web server which uses deep learning model (classification) to filter or group camera events.
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Forge_VFM4AD
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
lego-face-VAE
Variational autoencoder for Lego minifig faces
m2p3-mog
m2p3 with mixture of gaussians as prior
Multiple-Object-Forecasting
Repo for the paper 'Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments'. WACV 2020
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
PIE
Annotations for Pedestrian Intention Estimation (PIE) dataset
point_labeler
My awesome point cloud labeling tool
Social-STGCNN
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Super-Fast-Accurate-3D-Object-Detection
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Trajectory-Prediction-Tools
A tool set for trajectory prediction, ready for pip install
Trajectron-plus-plus
Code accompanying "Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
V2XP-ASG
[ICRA 2023] V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception
VQ-VAE_Keras_Implementation
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)