pheonix-18

pheonix-18's Stars

• pheonix-18/3D-Unet-BraTS-PyTorch

  Tumor Doc: Brain tumor segmention using Deep Learning Method 1

  Language:Jupyter Notebook51

• pheonix-18/linkedin-easy-apply-bot

  LinkLeap - Effortless Job Applications on LinkedIn - Automates 90% of Boring Job Application

  Language:Java9

• jonasschmedtmann/html-css-course

  Starter files, final projects, and FAQ for my HTML + CSS course

  Language:HTML2.5k2.2k

• SimplifyJobs/New-Grad-Positions

  A collection of full time roles in SWE, Quant, and PM for new grads.

  11.4k1.1k

• careercup/CtCI-6th-Edition

  Cracking the Coding Interview 6th Ed. Solutions

  Language:Java11.3k4.4k

• mortezamg63/Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch

  35064

• Rubics-Xuan/TransBTS

  This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

  Language:Python38781

• Tessellate-Imaging/Monk_Object_Detection

  A one-stop repository for low-code easily-installable object detection pipelines.

  Language:Jupyter Notebook632249

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k2.6k

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.6k2.7k

• UdonDa/3D-UNet-PyTorch

  implementation of 3DUNet by PyTorch 1.0

  Language:Python6117

• zyl200846/3D-UNet-PyTorch-Implementation

  The implementation of 3D-UNet using PyTorch

  Language:Python9926

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k722

• cv-lee/BraTs

  PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

  Language:Python25084

• sdsubhajitdas/Brain-Tumor-Segmentation

  Brain Tumor Segmentation done using U-Net Architecture.

  Language:Jupyter Notebook26462

• rishipython/BrainTumorSegmentationAI

  This project uses the 2D U-Net architecture to make a machine learning model to segment a brain tumor in an MRI scan of brain. This project was done in Python and used various libraries and frameworks including Tensorflow (keras), numpy, pandas, and more. This program creates 4 different U-Net models, each with different depth (2, 3, 4, and 5). I then train these on the training set and evaluate them on the validation set.

  Language:Jupyter Notebook52

• pheonix-18/Real-Time-Anomaly-Detection-Using-Drone-Surveillance

  1

• krishnaik06/Pyspark-With-Python

  Language:Jupyter Notebook459692

• wileyw/DeepLearningDemos

  Deep Learning Experiment Code.

  Language:Jupyter Notebook194

• gupta-abhay/pytorch-vit

  An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

  Language:Python28633

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.7k597