code-cse Goto Github PK
Name: Ashok Ajad
Type: User
Bio: AI Researcher, Solution Architect (Machine Learning)
Location: Mumbai
Blog: code-cse.github.io
Name: Ashok Ajad
Type: User
Bio: AI Researcher, Solution Architect (Machine Learning)
Location: Mumbai
Blog: code-cse.github.io
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A curated list of awesome data labeling tools
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of radiology report generation (medical report generation) and related areas. :-)
Use BERT to train a classification model and deploy the model by tensorflow serving
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Top 1 solution of Chexpert
Multi-label, multi-class classification of chest X-ray images using PyTorch
Source implementation and pointer to pre-trained models for Chexpert++, a BERT-based approximation to CheXpert for radiology report labeling.
repository for Publicly Available Clinical BERT Embeddings
CNNs for Sentence Classification in PyTorch
personal-portfolio-and-blog
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Command for different package installation in GPU/CPU
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
CNN for Classification of Coronary Artery Stenosis Score inMPR Images.
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Convolutional Neural Networks
There are lot of things that need to be done on the given dataset before we feed it to the machine, these things come under data preprocessing. In this repository I have tried to explain those things with some examples.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
This repository contains the code for various deep learning models and different architecture.
Deep Neural Network Ensembles for Extreme Classification
Deep Learning Examples
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.