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keras-frcnn

keras-io

Keras documentation, hosted live at keras.io

keras-learning

The project is for Learning Keras.

keras-nlp

Industry-strength Natural Language Processing workflows with Keras

keras-split-utils

For keras.preprocessing.image.ImageDataGenerator and flow_from_directory

keras-vggface

VGGFace implementation with Keras Framework

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

keyword-extracter

Problem Statement: Given a particular PDF/Text document ,How to extract keywords and arrange in order of their weightage using Python?

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

ksql-iris-classifier-udf

Mirror from gitlab

kubeflow

Machine Learning Toolkit for Kubernetes

lab-data-cleaning

lab-storytelling-data-visualization

lab_scripts

Consolidated scripts used by the Morin lab

label-embedding-network

Label Embedding Network

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

labelbox

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

labelmeannotationtool

Source code for the LabelMe annotation tool.

laion-ai-open-instruction-generalist

Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks

laion-datasets

Description and pointers of laion datasets

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

lambda-refarch-image-moderation-chatbot

The Image Moderator Chatbot serverless reference architecture demonstrates how to leverage Amazon Rekognition's image moderation deep learning feature to automatically remove messages containing explicit or suggestive images from channels of popular chat apps using Amazon API Gateway, AWS Lambda, and Amazon Rekognition.

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.

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-nonprofit-grader

langchain-notion-qa