athnzc

athnzc's Stars

• zadam/trilium

  Build your personal knowledge base with Trilium Notes

  Language:JavaScript26.7k2753.5k1.9k

• dair-ai/ML-Papers-of-the-Week

  🔥Highlighting the top ML papers every week.

  9.9k8353566

• newren/git-filter-repo

  Quickly rewrite git repository history (filter-branch replacement)

  Language:Python8.1k51371691

• prasanthrangan/hyprdots

  // Aesthetic, dynamic and minimal dots for Arch hyprland

  Language:Shell6.5k52903765

• mviereck/x11docker

  Run GUI applications and desktops in docker and podman containers. Focus on security.

  Language:Shell5.6k93499375

• Deci-AI/super-gradients

  Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  Language:Jupyter Notebook4.5k45659489

• dusty-nv/jetson-containers

  Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

  Language:Python2.1k45477437

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.7k3425297

• haotian-liu/yolact_edge

  The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

  Language:Python1.3k29228274

• NVlabs/Deep_Object_Pose

  Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

  Language:Python1k28325283

• WittmannF/sort-google-scholar

  Sorting Google Scholar search results based on the number of citations

  Language:Python7461724161

• IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

  Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

  Language:Jupyter Notebook3651358114

• cvlab-epfl/EPnP

  EPnP: Efficient Perspective-n-Point Camera Pose Estimation

  Language:MATLAB26211457

• MyHoneyBadger/awesome-github-wiki

  :neckbeard: Awesome list GitHub Wikis

  2373128

• helmut-hoffer-von-ankershoffen/jetson

  Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

  Language:Python20720042

• ScarletStudy/DGS1-3DS-Release

  Release repository for the 3DS version of The Great Ace Attorney - The Adventure of Ryuunosuke Naruhodou

  164211273

• shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

  Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

  Language:Jupyter Notebook1638544

• martinzlocha/anchor-optimization

  Anchor optimization for RetinaNet.

  Language:Python11632235

• NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference

  NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

  Language:C++10343117

• spm/spm

  SPM (Statistical Parametric Mapping) - Development Version

  Language:MATLAB71112324

• swtyree/hope-dataset

  HOPE-Image and HOPE-Video 6-DOF pose datasets.

  Language:Python55483

• BMIRDS/3dMRISegmentation

  Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."

  Language:Python335710

• dorianps/LINDA

  Lesion Identification with Neighborhood Data Analysis

  Language:R202334

• atinfinity/cudagl

  This is a Dockerfile to use OpenGL/CUDA/Vulkan application on Docker container with NVIDIA GPU.

  Language:Dockerfile13102

• andrewyguo/dope_training

  Training, Inference, and Evaluation Scripts for Deep Object Pose

  Language:Python9122

• cyd3r/ransac

  An implementation of the RANSAC algorithm

  Language:Cuda6102

• rockstreamguy/deepbrain

  Deep Learning tools for brain medical images

  Language:Python5006

• MayPhu/3D-UNet-Segmenation-for-Brain-Infarction

  Language:Jupyter Notebook31

• Nasialink/3dMRISegmentation

  Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."

  1

• Nasialink/FCN_modified

  Modifications of the code for the neural network based on the "3D MRI brain tumor segmentation using autoencoder regularization (FCN)" paper by Andriy Myronenko.

  Language:Python10