rohit-takhar

rohit-takhar's Stars

• blueimp/jQuery-File-Upload

  File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.

  Language:PHP31k1.6k3.3k8k

• mozilla/DeepSpeech

  DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

  Language:C++24.8k6662.1k3.9k

• Redocly/redoc

  📘 OpenAPI/Swagger-generated API Reference Documentation

  Language:TypeScript23k2941.8k2.3k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  16.8k408722.2k

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.4k347691.7k

• szimek/sharedrop

  Easy P2P file transfer powered by WebRTC - inspired by Apple AirDrop

  Language:JavaScript9.3k110156682

• tsl0922/ttyd

  Share your terminal over the web

  Language:C7.7k112529861

• clovaai/deep-text-recognition-benchmark

  Text recognition (optical character recognition) with deep learning methods, ICCV 2019

  Language:Jupyter Notebook3.7k843851.1k

• OHIF/Viewers

  OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

  Language:TypeScript3k1182.3k3.2k

• nteract/semiotic

  A data visualization framework combining React & D3

  Language:JavaScript2.4k43457132

• SeldonIO/alibi-detect

  Algorithms for outlier, adversarial and drift detection

  Language:Python2.2k38356217

• teamclairvoyant/airflow-maintenance-dags

  A series of DAGs/Workflows to help maintain the operation of Airflow

  Language:Python1.6k8774383

• nipreps/fmriprep

  fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

  Language:HTML613321.8k288

• layerssss/paste.js

  read image/text data from clipboard (cross-browser)

  Language:CoffeeScript464215294

• Enet4/dicom-rs

  Rust implementation of the DICOM standard

  Language:Rust4021415776

• NVIDIA/ai-assisted-annotation-client

  Client side integration example source code and libraries for AI-Assisted Annotation SDK

  Language:C++306244864

• makehuman-js/makehuman-js

  A library to build 3D human characters in the browser

  Language:JavaScript285211773

• edreisMD/plugnplai

  🎸 Integrating AI plugins to LLMs

  Language:Python22955818

• spinalcordtoolbox/spinalcordtoolbox

  Comprehensive and open-source library of analysis tools for MRI of the spinal cord.

  Language:Python193292.9k101

• rordenlab/MRIcroGL

  v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.

  Language:Python19095832

• CBICA/CaPTk

  Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

  Language:C++173499963

• PrettyPrinted/flask_auth_scotch

  Language:HTML12447143

• OHNLP/MedTagger

  MedTagger is a light weight clinical NLP system built upon Apache UIMA.

  Language:Java59131218

• dvisionlab/Larvitar

  Dicom Image Toolkit for CornestoneJS

  Language:TypeScript452675

• parallaxinnovations/MicroView

  MicroView is a 3D image viewer and analysis tool

  Language:Python145474

• neuropoly/vertebral-labeling-deep-learning

  Deep Learning method for intervertebral disc detection and labeling (WIP)

  Language:Python131206

• OHNLP/awesome-clinical-nlp

  12501

• ImagingInformatics/hackathon-docs

  Hackathon Documentation - Simple to follow examples of how to use FHIR, DICOMweb and other modern helathcare/medical imaging APIs

  9309

• jacobswan1/SpineSegment

  Using deep neural network to detect and make segmentation of human beings' lesion regions in spine.

  Language:Jupyter Notebook6202

• pamruta/WebGL

  3D Web Graphics using WebGL and p5.js

  Language:JavaScript2300