GKalliatakis

GKalliatakis's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript113k2.1k9214.2k

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript65.9k2651.2k21.3k

• 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.

  Language:Jupyter Notebook45k2996475.3k

• nativefier/nativefier

  Make any web page a desktop application

  Language:TypeScript34.7k4421.2k2.2k

• acheong08/ChatGPT

  Reverse engineered ChatGPT API

  Language:Python28k2898114.5k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python18.6k2792.8k2.6k

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.4k1481.5k1.3k

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook5k831591.1k

• karpathy/ng-video-lecture

  Language:Python3.2k4926824

• helblazer811/ManimML

  ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

  Language:Python2.2k3338134

• black0017/MedicalZooPytorch

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

  Language:Python1.6k3425293

• facebookresearch/ConvNeXt-V2

  Code release for ConvNeXt V2 model

  Language:Python1.4k866110

• photosynthesis-team/piq

  Measures and metrics for image2image tasks. PyTorch.

  Language:Python1.3k14222114

• MIC-DKFZ/medicaldetectiontoolkit

  The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

  Language:Python1.3k54124298

• glouppe/info8010-deep-learning

  Lectures for INFO8010 Deep Learning, ULiège

  Language:Jupyter Notebook1.2k642320

• Kaixhin/grokking-pytorch

  The Hitchiker's Guide to PyTorch

  1.2k29275

• arxiv-vanity/engrafo

  Convert LaTeX documents into beautiful responsive web pages using LaTeXML.

  Language:HTML1.1k1631991

• Project-MONAI/MONAILabel

  MONAI Label is an intelligent open source image labeling and learning tool.

  Language:Python56124507183

• Kaixhin/Autoencoders

  Torch implementations of various types of autoencoders

  Language:Lua465201077

• donggong1/memae-anomaly-detection

  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

  Language:Python4521931103

• JunMa11/MedUncertainty

  Uncertainty in Medical Image Analysis

  30917142

• facebookresearch/dropout

  Code release for "Dropout Reduces Underfitting"

  Language:Python3076318

• ImagingDataCommons/highdicom

  High-level DICOM abstractions for the Python programming language

  Language:Python16197634

• cheerss/PixelLink-with-pytorch

  PixelLink-with-pytorch

  Language:Python7741321

• OscarPellicer/prostate_lesion_detection

  Model for the detection, segmentation, and classification of prostate lesions from mpMRI, using ProstateX data and Retina U-Net

  Language:Python612526

• TomasBeuzen/deep-learning-with-pytorch

  Content from the University of British Columbia's Master of Data Science course DSCI 572.

  Language:Jupyter Notebook343113

• guspih/Perceptual-Autoencoders

  Experiments with perceptual loss and autoencoders.

  Language:Python28406

• Emory-HITI/BAC_segmentation

  Code for SCU-Net

  Language:Python3201

• themis-ai/capsa

  A data- and model-agnostic neural network wrapper for risk-aware decision making

  2400

• robustml-eurecom/quality_control_CMR

  Language:Jupyter Notebook1101