djramakrishna

djramakrishna's Stars

• nvie/gitflow

  Git extensions to provide high-level repository operations for Vincent Driessen's branching model.

  Language:Shell26.7k5713642.7k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.3k985531.1k

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.5k1414521.5k

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python4.8k2487152

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.7k13030490

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.3k29245655

• mit-han-lab/efficientvit

  Efficient vision foundation models for high-resolution generation and perception.

  Language:Python2.4k40141191

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.4k4158158

• rafaelpadilla/review_object_detection_metrics

  Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

  Language:Python1.1k18108215

• NVIDIA/retinanet-examples

  Fast and accurate object detection with end-to-end GPU optimization

  Language:Python88744316270

• dingjiansw101/AerialDetection

  Language:Python80114107184

• 4DVLab/Vision-Centric-BEV-Perception

  Vision-Centric BEV Perception: A Survey

  67730169

• OpenDriveLab/DriveAGI

  [CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

  Language:Python621291224

• yijingru/BBAVectors-Oriented-Object-Detection

  [WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

  Language:Python4691113688

• vasgaowei/BEV-Perception

  Bird's Eye View Perception

  45413324

• wayveai/mile

  PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

  Language:Python36344734

• Zzh-tju/CIoU

  Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

  Language:Python32792344

• Zzh-tju/DIoU

  Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

  Language:MATLAB314152450

• SxJyJay/MSMDFusion

  [CVPR 2023] MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

  Language:Python18394711

• Visual-Behavior/detr-tensorflow

  Tensorflow implementation of DETR : Object Detection with Transformers

  Language:Jupyter Notebook16954753

• woctezuma/finetune-detr

  Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.

  Language:Jupyter Notebook14041023

• kamino410/procam-calibration

  A calibration software for projector-camera system using chessboard and structured light patterns.

  Language:Python13071636

• harpalsahota/bbaug

  Bounding box augmentations for Pytorch

  Language:Jupyter Notebook122477

• apple/ml-autofocusformer

  This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

  Language:Python1181009

• Bin-ze/BEVFormer_segmentation_detection

  Implemented BEVFormer support for BEV segmentation

  Language:Python1041339

• mingj2021/segment-anything-tensorrt

  Language:Jupyter Notebook783169

• fraunhoferhhi/X-maps

  [CVPRW '23] Real-time depth estimation with an event camera and a laser projector

  Language:Python75408

• jw9730/ori-giou

  GIoU for rotated bounding boxes, vectorized and differentiable

  Language:Python36234

• Chushihyun/MT-DETR

  [WACV 2023] MT-DETR: Robust End-to-end Multimodal Detection with Confidence Fusion: Official Pytorch Implementation

  Language:Python31351

• zzj403/BEV_Robust

  [CVPR 2023] Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving

  Language:Python21212