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keras-one-cycle

Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

keras-residual-unit

customize this building block to make all the residual connections you can dream of

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-ricap

A Keras/TensorFlow implementation of RICAP (Random Image Cropping And Patching)

keras-triplet-loss-mnist

Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST

keras-vis

Neural network visualization toolkit for keras

keras-vision-app

Starter Pack for creating fast responsive Web App for Keras Image Classification models

keras-yolo3

Training and Detecting Objects with YOLO3

keras_frcnn

Keras Implementation of faster-rcnn

keyphrasetransformer

KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

knnclassifier

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.

label_smoothing

Corrupted labels and label smoothing

lalabs

lab files for LA serverless application labs

lambda-powertools-coding-workshop

lambda-refarch-fileprocessing

Serverless Reference Architecture for Real-time File Processing

lambda-refarch-imagerecognition

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.

latr

Implementation of LaTr: Layout-aware transformer for scene-text VQA,a novel multimodal architecture for Scene Text Visual Question Answering (STVQA)

learn-amazon-sagemaker

Learn Amazon SageMaker

learn-opencv-in-3-hours

learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learning-social-media-analytics-with-r

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

learnopencv

Learn OpenCV : C++ and Python Examples

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lexstartstopinstances

Amazon Lex - Start Stop EC2 Instances Example

lime

Lime: Explaining the predictions of any machine learning classifier

linear_multiple_regression

Simple Regression implementation using python and R

linearregression

Linear Regression

lmx

Learning Management System "Extended" - Final Capstone Project for EPAI Course under The School of AI