ashishjamarkattel Goto Github PK
Name: Ashish J.kattel
Type: User
Company: Otermans Institute
Bio: Machine Learning Engineer
Name: Ashish J.kattel
Type: User
Company: Otermans Institute
Bio: Machine Learning Engineer
Config files for my GitHub profile.
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
This repo consist of the code to segment the MRI SCAN of BRAIN using UNET.
Once sequenced, a cancer tumor can have thousands of genetic mutations. But the challenge is distinguishing the mutations that contribute to tumor growth (drivers) from the neutral mutations (passengers). Currently this interpretation of genetic mutations is being done manually. This is a very time-consuming task where a clinical pathologist has to manually review and classify every single genetic mutation based on evidence from text-based clinical literature. For this competition MSKCC is making available an expert-annotated knowledge base where world-class researchers and oncologists have manually annotated thousands of mutations. We need your help to develop a Machine Learning algorithm that, using this knowledge base as a baseline, automatically classifies genetic variations.
Dashboard Task using Plotly Dash
This repo contains the code for the document classification using conv1d and using the pretrained word embedding vectors. Here we use Glove.
Repository consist of the code for language translation using Encoder Decoder model
Reading mlops basic
Pileline for training Images using CNN, Transfer learning.
Understand and implementing the real world business problem for Quora if 2 given pair are dublicate or not
Create Reddit Videos with just✨ one command ✨
Technique to resized a images.One of the metrics that we can use is the value of the derivative at each point. This is a good indicator of the level of activity in that neighborhood. If there is some activity, then the pixel values will change rapidly. Hence the value of the derivative at that point would be high. On the other hand, if the region were plain and uninteresting, then the pixel values wouldn’t change as rapidly. So, the value of the derivative at that point in the grayscale image would be low. This thing is called enegry matrix. For each pixel location, we compute the energy by summing up the X and Y derivatives at that point. We compute the derivatives by taking the difference between the current pixel and its neighbors.
This repo consist of the analysis and building the model which is able to classify Spoken Digit recognization. The dataset was taken from kaggle. It includes about 4000 wave file which have 0-9 Spoken Digits Where each class 0-9 have around 200 sounds.
Implementation of steganography where file will be created by neural network for encoding the message
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.