gorkemguzeler
Pursuing a master's degree in Computer Science at Technical University of Munich
TUM - Computer ScienceMunich
gorkemguzeler's Stars
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
mlfoundations/open_clip
An open source implementation of CLIP.
facebookresearch/ImageBind
ImageBind One Embedding Space to Bind Them All
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
threestudio-project/threestudio
A unified framework for 3D content generation.
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
cvlab-columbia/zero123
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
tryolabs/norfair
Lightweight Python library for adding real-time multi-object tracking to any detector.
patrickloeber/pytorchTutorial
PyTorch Tutorials from my YouTube channel
hustvl/MapTR
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
walzimmer/3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
ch-sa/labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
youquanl/Segment-Any-Point-Cloud
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
SkalskiP/awesome-foundation-and-multimodal-models
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
wayveai/Driving-with-LLMs
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
Haiyang-W/DSVT
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
Tsinghua-MARS-Lab/futr3d
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
OpenDriveLab/LaneSegNet
[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving
zenml-io/zenbytes
A simple guide to MLOps through ZenML and its various integrations.
TUM-Dev/tum-thesis-latex
:notebook_with_decorative_cover: A LaTeX template for TUM Bachelor/Master theses.
darrenjkt/MS3D
Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement
atonderski/lidarclip
Bridging lidar and text through image intermediaries
yiduohao/Radical
CVPR 2024: Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
koraykoca/Python-Notes-Tips
Useful notes and tips about Python Programming Language
DominikBeese/DidAIGetMoreNegativeRecently
Data and code for the paper "Did AI get more negative recently?"