thkreutz's Stars
bryanbocao/awesome-open-papernotes
Yet another Ph.D. adventure.
speedyapply/2025-AI-College-Jobs
2025 AI/ML internship & new graduate job list updated daily
vb44/HMM-MOS
A simple and easy-to-use learning-free MOS approach for point cloud data.
JensLe97/lion-xa
Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training
voxel51/fiftyone
Refine high-quality datasets and visual AI models
Cmeo97/Alpha-TCVAE
Implementation of α-TCVAE: On The Relationship Between Disentanglement and Diversity
tomtom1103/compose-and-conquer
[ICLR 2024] Official repo. for Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
amansouri3476/OC-CRL
Object-Centric Causal Representation Learning
yue-zhongqi/diti
Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
xiangruhuang/PCSeqLearning
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
vita-epfl/CrowdNav
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
gnns4hri/SocNavGym
crowdbotp/socialways
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
ezhan94/multiagent-programmatic-supervision
PyTorch implementation of Generating Multi-Agent Trajectories using Programmatic Weak Supervision
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
arsalhuda24/LSTM-autoencoders-for-Trajectory-Prediction
xuehaouwa/Trajectory-Prediction-Tools
A tool set for trajectory prediction, ready for pip install
tryolabs/norfair
Lightweight Python library for adding real-time multi-object tracking to any detector.
placeforyiming/ICCVW21-LiDAR-Panoptic-Segmentation-TradiCV-Survey-of-Point-Cloud-Cluster
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
vita-epfl/trajnetplusplusbaselines
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
clearml/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
chenmingxiang110/Growing-Neural-Cellular-Automata
A reproduction of growing neural cellular automata using PyTorch.
pnxenopoulos/awpy
Python library to parse, analyze and visualize Counter-Strike 2 data
openai/safety-gym
Tools for accelerating safe exploration research.
A2Amir/Motion-Model-of-a-Car
Motion models are description of the physics of a vehicle.
CUN-bjy/learning-based-navigation-papers
paper-list of learning-based mobile navigation(especially motion planning & awareness)
jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch