amitkayal Goto Github PK
Name: Amit Kayal
Type: User
Company: Its me
Name: Amit Kayal
Type: User
Company: Its me
Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
customize this building block to make all the residual connections you can dream of
Keras implementation of RetinaNet object detection.
A Keras/TensorFlow implementation of RICAP (Random Image Cropping And Patching)
Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST
Neural network visualization toolkit for keras
Starter Pack for creating fast responsive Web App for Keras Image Classification models
Training and Detecting Objects with YOLO3
Keras Implementation of faster-rcnn
KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction
In this solution, I am going to build a Knn classifier using R programming language. Will use the R machine learning caret package to build our Knn classifier. The most commonly used distance measure is Euclidean distance. The Euclidean distance is also known as simply distance. The usage of Euclidean distance measure is highly recommended when data is dense or continuous. Euclidean distance is the best proximity measure.
Corrupted labels and label smoothing
lab files for LA serverless application labs
Serverless Reference Architecture for Real-time File Processing
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.
Implementation of LaTr: Layout-aware transformer for scene-text VQA,a novel multimodal architecture for Scene Text Visual Question Answering (STVQA)
Learn Amazon SageMaker
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
Learn OpenCV : C++ and Python Examples
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Amazon Lex - Start Stop EC2 Instances Example
Lime: Explaining the predictions of any machine learning classifier
Simple Regression implementation using python and R
Linear Regression
Learning Management System "Extended" - Final Capstone Project for EPAI Course under The School of AI
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.